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Merge remote-tracking branch 'remotes/upstream/2.4' into dc1394_2-1394b

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This commit is contained in:
Dominik Rose 2013-06-27 19:43:05 +02:00
commit d39aeeca0f
428 changed files with 19621 additions and 7425 deletions
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2
.gitattributes vendored
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@ -33,7 +33,7 @@
CMakeLists.txt text whitespace=tabwidth=2
*.png binary
*.jepg binary
*.jpeg binary
*.jpg binary
*.exr binary
*.ico binary

70
3rdparty/tbb/CMakeLists.txt vendored
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@ -1,12 +1,30 @@
#Cross compile TBB from source
project(tbb)
# 4.1 update 2 - works fine
set(tbb_ver "tbb41_20130116oss")
set(tbb_url "http://threadingbuildingblocks.org/sites/default/files/software_releases/source/tbb41_20130116oss_src.tgz")
set(tbb_md5 "3809790e1001a1b32d59c9fee590ee85")
if (WIN32 AND NOT ARM)
message(FATAL_ERROR "BUILD_TBB option supports Windows on ARM only!\nUse regular official TBB build instead of the BUILD_TBB option!")
endif()
# 4.1 update 4 - works fine
set(tbb_ver "tbb41_20130613oss")
set(tbb_url "http://threadingbuildingblocks.org/sites/default/files/software_releases/source/tbb41_20130613oss_src.tgz")
set(tbb_md5 "108c8c1e481b0aaea61878289eb28b6a")
set(tbb_version_file "version_string.ver")
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow -Wunused-parameter)
# 4.1 update 3 dev - works fine
#set(tbb_ver "tbb41_20130401oss")
#set(tbb_url "http://threadingbuildingblocks.org/sites/default/files/software_releases/source/tbb41_20130401oss_src.tgz")
#set(tbb_md5 "f2f591a0d2ca8f801e221ce7d9ea84bb")
#set(tbb_version_file "version_string.ver")
#ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow)
# 4.1 update 2 - works fine
#set(tbb_ver "tbb41_20130116oss")
#set(tbb_url "http://threadingbuildingblocks.org/sites/default/files/software_releases/source/tbb41_20130116oss_src.tgz")
#set(tbb_md5 "3809790e1001a1b32d59c9fee590ee85")
#set(tbb_version_file "version_string.ver")
#ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow)
# 4.1 update 1 - works fine
#set(tbb_ver "tbb41_20121003oss")
@ -107,7 +125,7 @@ if(NOT EXISTS "${tbb_src_dir}")
RESULT_VARIABLE tbb_untar_RESULT)
if(NOT tbb_untar_RESULT EQUAL 0 OR NOT EXISTS "${tbb_src_dir}")
message(FATAL_ERROR "Failed to unpack TBB sources")
message(FATAL_ERROR "Failed to unpack TBB sources from ${tbb_tarball} to ${tbb_src_dir} with error ${tbb_untar_RESULT}")
endif()
endif()
@ -123,13 +141,22 @@ file(GLOB lib_hdrs "${tbb_src_dir}/src/tbb/*.h")
list(APPEND lib_srcs "${tbb_src_dir}/src/rml/client/rml_tbb.cpp")
if (WIN32)
add_definitions(-D__TBB_DYNAMIC_LOAD_ENABLED=0
-D__TBB_BUILD=1
-D_UNICODE
-DUNICODE
-DWINAPI_FAMILY=WINAPI_FAMILY_APP
-DDO_ITT_NOTIFY=0
add_definitions(/D__TBB_DYNAMIC_LOAD_ENABLED=0
/D__TBB_BUILD=1
/DTBB_NO_LEGACY=1
/D_UNICODE
/DUNICODE
/DWINAPI_FAMILY=WINAPI_FAMILY_APP
/DDO_ITT_NOTIFY=0
/DUSE_WINTHREAD
) # defines were copied from windows.cl.inc
if (ARM)
add_definitions(/D_WIN32_WINNT=0x0602
/D__TBB_WIN32_USE_CL_BUILTINS
)
endif()
set(CMAKE_LINKER_FLAGS "${CMAKE_LINKER_FLAGS} /APPCONTAINER")
else()
add_definitions(-D__TBB_DYNAMIC_LOAD_ENABLED=0 #required
@ -173,7 +200,23 @@ endif()
set(TBB_SOURCE_FILES ${TBB_SOURCE_FILES} "${CMAKE_CURRENT_SOURCE_DIR}/${tbb_version_file}")
add_library(tbb ${TBB_SOURCE_FILES})
target_link_libraries(tbb c m dl)
if (WIN32)
if (ARM)
set(platform_macro /D_M_ARM=1)
endif()
add_custom_command(TARGET tbb
PRE_BUILD
COMMAND ${CMAKE_C_COMPILER} /nologo /TC /EP ${tbb_src_dir}\\src\\tbb\\win32-tbb-export.def /DTBB_NO_LEGACY=1 /D_CRT_SECURE_NO_DEPRECATE /D__TBB_BUILD=1 ${platform_macro} /I${tbb_src_dir}\\src /I${tbb_src_dir}\\include > "${tbb_src_dir}\\src\\tbb\\tbb.def"
WORKING_DIRECTORY ${tbb_src_dir}\\src\\tbb
COMMENT "Generating tbb.def file" VERBATIM
)
set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} /DEF:${tbb_src_dir}/src/tbb/tbb.def /DLL /MAP /fixed:no /INCREMENTAL:NO")
else()
target_link_libraries(tbb c m dl)
endif()
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef -Wmissing-declarations)
string(REPLACE "-Werror=non-virtual-dtor" "" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
@ -182,6 +225,7 @@ set_target_properties(tbb
PROPERTIES OUTPUT_NAME tbb
DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH}
RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
)
if(ENABLE_SOLUTION_FOLDERS)

29
CMakeLists.txt
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@ -103,6 +103,19 @@ if(UNIX AND NOT ANDROID)
endif()
endif()
# Add these standard paths to the search paths for FIND_PATH
# to find include files from these locations first
if(MINGW)
if(EXISTS /mingw)
list(APPEND CMAKE_INCLUDE_PATH /mingw)
endif()
if(EXISTS /mingw32)
list(APPEND CMAKE_INCLUDE_PATH /mingw32)
endif()
if(EXISTS /mingw64)
list(APPEND CMAKE_INCLUDE_PATH /mingw64)
endif()
endif()
# ----------------------------------------------------------------------------
# OpenCV cmake options
@ -110,7 +123,7 @@ endif()
# Optional 3rd party components
# ===================================================
OCV_OPTION(WITH_1394 "Include IEEE1394 support" ON IF (UNIX AND NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_1394 "Include IEEE1394 support" ON IF (NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_AVFOUNDATION "Use AVFoundation for Video I/O" ON IF IOS)
OCV_OPTION(WITH_CARBON "Use Carbon for UI instead of Cocoa" OFF IF APPLE )
OCV_OPTION(WITH_CUDA "Include NVidia Cuda Runtime support" ON IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT ANDROID AND NOT IOS) )
@ -286,6 +299,10 @@ set(OPENCV_CONFIG_FILE_INCLUDE_DIR "${CMAKE_BINARY_DIR}/" CACHE PATH "Where to c
add_definitions(-DHAVE_CVCONFIG_H)
ocv_include_directories(${OPENCV_CONFIG_FILE_INCLUDE_DIR})
# ----------------------------------------------------------------------------
# Path for additional modules
# ----------------------------------------------------------------------------
set(OPENCV_EXTRA_MODULES_PATH "" CACHE PATH "Where to look for additional OpenCV modules")
# ----------------------------------------------------------------------------
# Autodetect if we are in a GIT repository
@ -402,7 +419,7 @@ if(ANDROID)
if(NOT ANDROID_TOOLS_Pkg_Revision GREATER 13)
message(WARNING "OpenCV requires Android SDK tools revision 14 or newer. Otherwise tests and samples will no be compiled.")
endif()
elseif(ANT_EXECUTABLE)
else()
find_package(JNI)
endif()
@ -456,15 +473,15 @@ if(BUILD_EXAMPLES OR BUILD_ANDROID_EXAMPLES OR INSTALL_PYTHON_EXAMPLES)
endif()
if(ANDROID)
add_subdirectory(android/service)
add_subdirectory(platforms/android/service)
endif()
if(BUILD_ANDROID_PACKAGE)
add_subdirectory(android/package)
add_subdirectory(platforms/android/package)
endif()
if (ANDROID)
add_subdirectory(android/libinfo)
add_subdirectory(platforms/android/libinfo)
endif()
# ----------------------------------------------------------------------------
@ -830,7 +847,7 @@ status(" ant:" ANT_EXECUTABLE THEN "${ANT_EXECUTABLE} (ver ${A
if(NOT ANDROID)
status(" JNI:" JNI_INCLUDE_DIRS THEN "${JNI_INCLUDE_DIRS}" ELSE NO)
endif()
status(" Java tests:" BUILD_TESTS AND (NOT ANDROID OR CAN_BUILD_ANDROID_PROJECTS) THEN YES ELSE NO)
status(" Java tests:" BUILD_TESTS AND (CAN_BUILD_ANDROID_PROJECTS OR HAVE_opencv_java) THEN YES ELSE NO)
# ========================== documentation ==========================
if(BUILD_DOCS)

11
CONTRIBUTING.md
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@ -1,11 +0,0 @@
We greatly appreciate your support and contributions and they are always welcomed!
Github pull requests are the convenient way to contribute to OpenCV project. Good pull requests have all of these attributes:
* Are scoped to one specific issue
* Include a test to demonstrate the correctness
* Update the docs if relevant
* Match the [coding style guidelines](http://code.opencv.org/projects/opencv/wiki/CodingStyleGuide)
* Don't messed by "oops" commits
You can find more detailes about contributing process on http://opencv.org/contribute.html

11
README
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@ -4,3 +4,14 @@ Homepage: http://opencv.org
Online docs: http://docs.opencv.org
Q&A forum: http://answers.opencv.org
Dev zone: http://code.opencv.org
Please read before starting work on a pull request:
http://code.opencv.org/projects/opencv/wiki/How_to_contribute
Summary of guidelines:
* One pull request per issue;
* Choose the right base branch;
* Include tests and documentation;
* Clean up "oops" commits before submitting;
* Follow the coding style guide.

90
android/scripts/build.cmd
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@ -1,90 +0,0 @@
@ECHO OFF
:: enable command extensions
VERIFY BADVALUE 2>NUL
SETLOCAL ENABLEEXTENSIONS || (ECHO Unable to enable command extensions. & EXIT \B)
:: build environment
SET SOURCE_DIR=%cd%
IF EXIST .\android.toolchain.cmake (SET BUILD_OPENCV=1) ELSE (SET BUILD_OPENCV=0)
IF EXIST .\jni\nul (SET BUILD_JAVA_PART=1) ELSE (SET BUILD_JAVA_PART=0)
:: load configuration
PUSHD %~dp0
SET SCRIPTS_DIR=%cd%
IF EXIST .\wincfg.cmd CALL .\wincfg.cmd
POPD
:: inherit old names
IF NOT DEFINED CMAKE SET CMAKE=%CMAKE_EXE%
IF NOT DEFINED MAKE SET MAKE=%MAKE_EXE%
:: defaults
IF NOT DEFINED BUILD_DIR SET BUILD_DIR=build
IF NOT DEFINED ANDROID_ABI SET ANDROID_ABI=armeabi-v7a
SET OPENCV_BUILD_DIR=%SCRIPTS_DIR%\..\%BUILD_DIR%
:: check that all required variables defined
PUSHD .
IF NOT DEFINED ANDROID_NDK (ECHO. & ECHO You should set an environment variable ANDROID_NDK to the full path to your copy of Android NDK & GOTO end)
(CD "%ANDROID_NDK%") || (ECHO. & ECHO Directory "%ANDROID_NDK%" specified by ANDROID_NDK variable does not exist & GOTO end)
IF NOT EXIST "%CMAKE%" (ECHO. & ECHO You should set an environment variable CMAKE to the full path to cmake executable & GOTO end)
IF NOT EXIST "%MAKE%" (ECHO. & ECHO You should set an environment variable MAKE to the full path to native port of make executable & GOTO end)
IF NOT %BUILD_JAVA_PART%==1 GOTO required_variables_checked
IF NOT DEFINED ANDROID_SDK (ECHO. & ECHO You should set an environment variable ANDROID_SDK to the full path to your copy of Android SDK & GOTO end)
(CD "%ANDROID_SDK%" 2>NUL) || (ECHO. & ECHO Directory "%ANDROID_SDK%" specified by ANDROID_SDK variable does not exist & GOTO end)
IF NOT DEFINED ANT_DIR (ECHO. & ECHO You should set an environment variable ANT_DIR to the full path to Apache Ant root & GOTO end)
(CD "%ANT_DIR%" 2>NUL) || (ECHO. & ECHO Directory "%ANT_DIR%" specified by ANT_DIR variable does not exist & GOTO end)
IF NOT DEFINED JAVA_HOME (ECHO. & ECHO You should set an environment variable JAVA_HOME to the full path to JDK & GOTO end)
(CD "%JAVA_HOME%" 2>NUL) || (ECHO. & ECHO Directory "%JAVA_HOME%" specified by JAVA_HOME variable does not exist & GOTO end)
:required_variables_checked
POPD
:: check for ninja
echo "%MAKE%"|findstr /i ninja >nul:
IF %errorlevel%==1 (SET BUILD_WITH_NINJA=0) ELSE (SET BUILD_WITH_NINJA=1)
IF %BUILD_WITH_NINJA%==1 (SET CMAKE_GENERATOR=Ninja) ELSE (SET CMAKE_GENERATOR=MinGW Makefiles)
:: create build dir
IF DEFINED REBUILD rmdir /S /Q "%BUILD_DIR%" 2>NUL
MKDIR "%BUILD_DIR%" 2>NUL
PUSHD "%BUILD_DIR%" || (ECHO. & ECHO Directory "%BUILD_DIR%" is not found & GOTO end)
:: run cmake
ECHO. & ECHO Runnning cmake...
ECHO ANDROID_ABI=%ANDROID_ABI%
ECHO.
IF NOT %BUILD_OPENCV%==1 GOTO other-cmake
:opencv-cmake
("%CMAKE%" -G"%CMAKE_GENERATOR%" -DANDROID_ABI="%ANDROID_ABI%" -DCMAKE_TOOLCHAIN_FILE="%SOURCE_DIR%"\android.toolchain.cmake -DCMAKE_MAKE_PROGRAM="%MAKE%" %* "%SOURCE_DIR%\..") && GOTO cmakefin
ECHO. & ECHO cmake failed & GOTO end
:other-cmake
("%CMAKE%" -G"%CMAKE_GENERATOR%" -DANDROID_ABI="%ANDROID_ABI%" -DOpenCV_DIR="%OPENCV_BUILD_DIR%" -DCMAKE_TOOLCHAIN_FILE="%OPENCV_BUILD_DIR%\..\android.toolchain.cmake" -DCMAKE_MAKE_PROGRAM="%MAKE%" %* "%SOURCE_DIR%") && GOTO cmakefin
ECHO. & ECHO cmake failed & GOTO end
:cmakefin
:: run make
ECHO. & ECHO Building native libs...
IF %BUILD_WITH_NINJA%==0 ("%MAKE%" -j %NUMBER_OF_PROCESSORS% VERBOSE=%VERBOSE%) || (ECHO. & ECHO make failed & GOTO end)
IF %BUILD_WITH_NINJA%==1 ("%MAKE%") || (ECHO. & ECHO ninja failed & GOTO end)
IF NOT %BUILD_JAVA_PART%==1 GOTO end
POPD && PUSHD %SOURCE_DIR%
:: configure java part
ECHO. & ECHO Updating Android project...
(CALL "%ANDROID_SDK%\tools\android" update project --name %PROJECT_NAME% --path .) || (ECHO. & ECHO failed to update android project & GOTO end)
:: compile java part
ECHO. & ECHO Compiling Android project...
(CALL "%ANT_DIR%\bin\ant" debug) || (ECHO. & ECHO failed to compile android project & GOTO end)
:end
POPD
ENDLOCAL

5
android/scripts/cmake_android.cmd
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@ -1,5 +0,0 @@
@ECHO OFF
PUSHD %~dp0..
CALL .\scripts\build.cmd %* -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
POPD

8
android/scripts/cmake_android_armeabi.sh
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@ -1,8 +0,0 @@
#!/bin/sh
cd `dirname $0`/..
mkdir -p build_armeabi
cd build_armeabi
cmake -DANDROID_ABI=armeabi -DCMAKE_TOOLCHAIN_FILE=../android.toolchain.cmake $@ ../..

8
android/scripts/cmake_android_mips.sh
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@ -1,8 +0,0 @@
#!/bin/sh
cd `dirname $0`/..
mkdir -p build_mips
cd build_mips
cmake -DANDROID_ABI=mips -DCMAKE_TOOLCHAIN_FILE=../android.toolchain.cmake $@ ../..

8
android/scripts/cmake_android_neon.sh
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@ -1,8 +0,0 @@
#!/bin/sh
cd `dirname $0`/..
mkdir -p build_neon
cd build_neon
cmake -DANDROID_ABI="armeabi-v7a with NEON" -DCMAKE_TOOLCHAIN_FILE=../android.toolchain.cmake $@ ../..

7
android/scripts/cmake_android_service.sh
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@ -1,7 +0,0 @@
#!/bin/sh
cd `dirname $0`/..
mkdir -p build_service
cd build_service
cmake -DCMAKE_TOOLCHAIN_FILE=../android.toolchain.cmake -DANDROID_TOOLCHAIN_NAME="arm-linux-androideabi-4.4.3" -DANDROID_STL=stlport_static -DANDROID_STL_FORCE_FEATURES=OFF -DBUILD_ANDROID_SERVICE=ON -DANDROID_SOURCE_TREE=~/Projects/AndroidSource/ServiceStub/ $@ ../..

9
android/scripts/cmake_android_x86.sh
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@ -1,9 +0,0 @@
#!/bin/sh
cd `dirname $0`/..
mkdir -p build_x86
cd build_x86
cmake -DANDROID_ABI=x86 -DCMAKE_TOOLCHAIN_FILE=../android.toolchain.cmake $@ ../..

30
android/scripts/wincfg.cmd.tmpl
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@ -1,30 +0,0 @@
:: variables required for OpenCV build ::
:: Note: all pathes should be specified without tailing slashes!
SET ANDROID_NDK=C:\full\path\to\your\copy\of\android\NDK\android-ndk-r7b
SET CMAKE_EXE=C:\full\path\to\cmake\utility\cmake.exe
SET MAKE_EXE=%ANDROID_NDK%\prebuilt\windows\bin\make.exe
:: variables required for android-opencv build ::
SET ANDROID_SDK=C:\full\path\to\your\copy\of\android\SDK\android-sdk-windows
SET ANT_DIR=C:\full\path\to\ant\directory\apache-ant-1.8.2
SET JAVA_HOME=C:\full\path\to\JDK\jdk1.6.0_25
:: configuration options ::
:::: general ARM-V7 settings
SET ANDROID_ABI=armeabi-v7a
SET BUILD_DIR=build
:::: uncomment following lines to compile for old emulator or old device
::SET ANDROID_ABI=armeabi
::SET BUILD_DIR=build_armeabi
:::: uncomment following lines to compile for ARM-V7 with NEON support
::SET ANDROID_ABI=armeabi-v7a with NEON
::SET BUILD_DIR=build_neon
:::: uncomment following lines to compile for x86
::SET ANDROID_ABI=x86
::SET BUILD_DIR=build_x86
:::: other options
::SET ANDROID_NATIVE_API_LEVEL=8 &:: android-3 is enough for native part of OpenCV but android-8 is required for Java API

89
android/service/doc/Makefile
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@ -1,89 +0,0 @@
# Makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
PAPER =
BUILDDIR = _build
# Internal variables.
PAPEROPT_a4 = -D latex_paper_size=a4
PAPEROPT_letter = -D latex_paper_size=letter
ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
.PHONY: help clean html dirhtml pickle json htmlhelp qthelp latex changes linkcheck doctest
help:
@echo "Please use \`make <target>' where <target> is one of"
@echo " html to make standalone HTML files"
@echo " dirhtml to make HTML files named index.html in directories"
@echo " pickle to make pickle files"
@echo " json to make JSON files"
@echo " htmlhelp to make HTML files and a HTML help project"
@echo " qthelp to make HTML files and a qthelp project"
@echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
@echo " changes to make an overview of all changed/added/deprecated items"
@echo " linkcheck to check all external links for integrity"
@echo " doctest to run all doctests embedded in the documentation (if enabled)"
clean:
-rm -rf $(BUILDDIR)/*
html:
$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
dirhtml:
$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
pickle:
$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
@echo
@echo "Build finished; now you can process the pickle files."
json:
$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
@echo
@echo "Build finished; now you can process the JSON files."
htmlhelp:
$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
@echo
@echo "Build finished; now you can run HTML Help Workshop with the" \
".hhp project file in $(BUILDDIR)/htmlhelp."
qthelp:
$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
@echo
@echo "Build finished; now you can run "qcollectiongenerator" with the" \
".qhcp project file in $(BUILDDIR)/qthelp, like this:"
@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/OpenCVEngine.qhcp"
@echo "To view the help file:"
@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/OpenCVEngine.qhc"
latex:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo
@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
@echo "Run \`make all-pdf' or \`make all-ps' in that directory to" \
"run these through (pdf)latex."
changes:
$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
@echo
@echo "The overview file is in $(BUILDDIR)/changes."
linkcheck:
$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
@echo
@echo "Link check complete; look for any errors in the above output " \
"or in $(BUILDDIR)/linkcheck/output.txt."
doctest:
$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
@echo "Testing of doctests in the sources finished, look at the " \
"results in $(BUILDDIR)/doctest/output.txt."

30
apps/traincascade/boost.cpp
View File

@ -766,7 +766,7 @@ float CvCascadeBoostTrainData::getVarValue( int vi, int si )
}
struct FeatureIdxOnlyPrecalc
struct FeatureIdxOnlyPrecalc : ParallelLoopBody
{
FeatureIdxOnlyPrecalc( const CvFeatureEvaluator* _featureEvaluator, CvMat* _buf, int _sample_count, bool _is_buf_16u )
{
@ -776,11 +776,11 @@ struct FeatureIdxOnlyPrecalc
idst = _buf->data.i;
is_buf_16u = _is_buf_16u;
}
void operator()( const BlockedRange& range ) const
void operator()( const Range& range ) const
{
cv::AutoBuffer<float> valCache(sample_count);
float* valCachePtr = (float*)valCache;
for ( int fi = range.begin(); fi < range.end(); fi++)
for ( int fi = range.start; fi < range.end; fi++)
{
for( int si = 0; si < sample_count; si++ )
{
@ -803,7 +803,7 @@ struct FeatureIdxOnlyPrecalc
bool is_buf_16u;
};
struct FeatureValAndIdxPrecalc
struct FeatureValAndIdxPrecalc : ParallelLoopBody
{
FeatureValAndIdxPrecalc( const CvFeatureEvaluator* _featureEvaluator, CvMat* _buf, Mat* _valCache, int _sample_count, bool _is_buf_16u )
{
@ -814,9 +814,9 @@ struct FeatureValAndIdxPrecalc
idst = _buf->data.i;
is_buf_16u = _is_buf_16u;
}
void operator()( const BlockedRange& range ) const
void operator()( const Range& range ) const
{
for ( int fi = range.begin(); fi < range.end(); fi++)
for ( int fi = range.start; fi < range.end; fi++)
{
for( int si = 0; si < sample_count; si++ )
{
@ -840,7 +840,7 @@ struct FeatureValAndIdxPrecalc
bool is_buf_16u;
};
struct FeatureValOnlyPrecalc
struct FeatureValOnlyPrecalc : ParallelLoopBody
{
FeatureValOnlyPrecalc( const CvFeatureEvaluator* _featureEvaluator, Mat* _valCache, int _sample_count )
{
@ -848,9 +848,9 @@ struct FeatureValOnlyPrecalc
valCache = _valCache;
sample_count = _sample_count;
}
void operator()( const BlockedRange& range ) const
void operator()( const Range& range ) const
{
for ( int fi = range.begin(); fi < range.end(); fi++)
for ( int fi = range.start; fi < range.end; fi++)
for( int si = 0; si < sample_count; si++ )
valCache->at<float>(fi,si) = (*featureEvaluator)( fi, si );
}
@ -864,12 +864,12 @@ void CvCascadeBoostTrainData::precalculate()
int minNum = MIN( numPrecalcVal, numPrecalcIdx);
double proctime = -TIME( 0 );
parallel_for( BlockedRange(numPrecalcVal, numPrecalcIdx),
FeatureIdxOnlyPrecalc(featureEvaluator, buf, sample_count, is_buf_16u!=0) );
parallel_for( BlockedRange(0, minNum),
FeatureValAndIdxPrecalc(featureEvaluator, buf, &valCache, sample_count, is_buf_16u!=0) );
parallel_for( BlockedRange(minNum, numPrecalcVal),
FeatureValOnlyPrecalc(featureEvaluator, &valCache, sample_count) );
parallel_for_( Range(numPrecalcVal, numPrecalcIdx),
FeatureIdxOnlyPrecalc(featureEvaluator, buf, sample_count, is_buf_16u!=0) );
parallel_for_( Range(0, minNum),
FeatureValAndIdxPrecalc(featureEvaluator, buf, &valCache, sample_count, is_buf_16u!=0) );
parallel_for_( Range(minNum, numPrecalcVal),
FeatureValOnlyPrecalc(featureEvaluator, &valCache, sample_count) );
cout << "Precalculation time: " << (proctime + TIME( 0 )) << endl;
}

3
cmake/OpenCVCompilerOptions.cmake
View File

@ -47,6 +47,9 @@ macro(add_extra_compiler_option option)
endif()
endmacro()
# OpenCV fails some tests when 'char' is 'unsigned' by default
add_extra_compiler_option(-fsigned-char)
if(MINGW)
# http://gcc.gnu.org/bugzilla/show_bug.cgi?id=40838
# here we are trying to workaround the problem

11
cmake/OpenCVDetectCUDA.cmake
View File

@ -26,6 +26,15 @@ if(CUDA_FOUND)
set(HAVE_CUBLAS 1)
endif()
if(${CUDA_VERSION} VERSION_LESS "5.5")
find_cuda_helper_libs(npp)
else()
find_cuda_helper_libs(nppc)
find_cuda_helper_libs(nppi)
find_cuda_helper_libs(npps)
set(CUDA_npp_LIBRARY ${CUDA_nppc_LIBRARY} ${CUDA_nppi_LIBRARY} ${CUDA_npps_LIBRARY})
endif()
if(WITH_NVCUVID)
find_cuda_helper_libs(nvcuvid)
set(HAVE_NVCUVID 1)
@ -136,8 +145,6 @@ if(CUDA_FOUND)
mark_as_advanced(CUDA_BUILD_CUBIN CUDA_BUILD_EMULATION CUDA_VERBOSE_BUILD CUDA_SDK_ROOT_DIR)
find_cuda_helper_libs(npp)
macro(ocv_cuda_compile VAR)
foreach(var CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG)
set(${var}_backup_in_cuda_compile_ "${${var}}")

12
cmake/OpenCVDetectOpenCL.cmake
View File

@ -44,12 +44,18 @@ if(OPENCL_FOUND)
set(OPENCL_INCLUDE_DIRS ${OPENCL_INCLUDE_DIR})
set(OPENCL_LIBRARIES ${OPENCL_LIBRARY})
if (X86_64)
if(WIN32 AND X86_64)
set(CLAMD_POSSIBLE_LIB_SUFFIXES lib64/import)
elseif (X86)
elseif(WIN32)
set(CLAMD_POSSIBLE_LIB_SUFFIXES lib32/import)
endif()
if(X86_64 AND UNIX)
set(CLAMD_POSSIBLE_LIB_SUFFIXES lib64)
elseif(X86 AND UNIX)
set(CLAMD_POSSIBLE_LIB_SUFFIXES lib32)
endif()
if(WITH_OPENCLAMDFFT)
find_path(CLAMDFFT_ROOT_DIR
NAMES include/clAmdFft.h
@ -80,7 +86,7 @@ if(OPENCL_FOUND)
if(WITH_OPENCLAMDBLAS)
find_path(CLAMDBLAS_ROOT_DIR
NAMES include/clAmdBlas.h
PATHS ENV CLAMDFFT_PATH ENV ProgramFiles
PATHS ENV CLAMDBLAS_PATH ENV ProgramFiles
PATH_SUFFIXES clAmdBlas AMD/clAmdBlas
DOC "AMD FFT root directory"
NO_DEFAULT_PATH)

5
cmake/OpenCVFindLibsGUI.cmake
View File

@ -24,7 +24,6 @@ if(WITH_QT)
if(Qt5Core_FOUND AND Qt5Gui_FOUND AND Qt5Widgets_FOUND AND Qt5Test_FOUND AND Qt5Concurrent_FOUND)
set(HAVE_QT5 ON)
set(HAVE_QT ON)
add_definitions(-DHAVE_QT)
find_package(Qt5OpenGL)
if(Qt5OpenGL_FOUND)
set(QT_QTOPENGL_FOUND ON)
@ -33,10 +32,9 @@ if(WITH_QT)
endif()
if(NOT HAVE_QT)
find_package(Qt4)
find_package(Qt4 REQUIRED QtCore QtGui QtTest)
if(QT4_FOUND)
set(HAVE_QT TRUE)
add_definitions(-DHAVE_QT) # We need to define the macro this way, using cvconfig.h does not work
endif()
endif()
endif()
@ -61,7 +59,6 @@ if(WITH_OPENGL)
list(APPEND OPENCV_LINKER_LIBS ${OPENGL_LIBRARIES})
if(QT_QTOPENGL_FOUND)
set(HAVE_QT_OPENGL TRUE)
add_definitions(-DHAVE_QT_OPENGL)
else()
ocv_include_directories(${OPENGL_INCLUDE_DIR})
endif()

33
cmake/OpenCVFindLibsVideo.cmake
View File

@ -81,10 +81,33 @@ endif(WITH_GIGEAPI)
# --- Dc1394 ---
ocv_clear_vars(HAVE_DC1394 HAVE_DC1394_2)
if(WITH_1394)
CHECK_MODULE(libdc1394-2 HAVE_DC1394_2)
if(NOT HAVE_DC1394_2)
CHECK_MODULE(libdc1394 HAVE_DC1394)
endif()
if(WIN32 AND MINGW)
find_path(CMU1394_INCLUDE_PATH "/1394common.h"
PATH_SUFFIXES include
DOC "The path to cmu1394 headers")
find_path(DC1394_2_INCLUDE_PATH "/dc1394/dc1394.h"
PATH_SUFFIXES include
DOC "The path to DC1394 2.x headers")
if(CMU1394_INCLUDE_PATH AND DC1394_2_INCLUDE_PATH)
set(CMU1394_LIB_DIR "${CMU1394_INCLUDE_PATH}/../lib" CACHE PATH "Full path of CMU1394 library directory")
set(DC1394_2_LIB_DIR "${DC1394_2_INCLUDE_PATH}/../lib" CACHE PATH "Full path of DC1394 2.x library directory")
if(EXISTS "${CMU1394_LIB_DIR}/lib1394camera.a" AND EXISTS "${DC1394_2_LIB_DIR}/libdc1394.a")
set(HAVE_DC1394_2 TRUE)
endif()
endif()
if(HAVE_DC1394_2)
ocv_parse_pkg("libdc1394-2" "${DC1394_2_LIB_DIR}/pkgconfig" "")
ocv_include_directories(${DC1394_2_INCLUDE_PATH})
set(HIGHGUI_LIBRARIES ${HIGHGUI_LIBRARIES}
"${DC1394_2_LIB_DIR}/libdc1394.a"
"${CMU1394_LIB_DIR}/lib1394camera.a")
endif(HAVE_DC1394_2)
else(WIN32 AND MINGW)
CHECK_MODULE(libdc1394-2 HAVE_DC1394_2)
if(NOT HAVE_DC1394_2)
CHECK_MODULE(libdc1394 HAVE_DC1394)
endif()
endif(WIN32 AND MINGW)
endif(WITH_1394)
# --- xine ---
@ -197,7 +220,7 @@ endif(WITH_MSMF)
# --- Extra HighGUI libs on Windows ---
if(WIN32)
list(APPEND HIGHGUI_LIBRARIES comctl32 gdi32 ole32 vfw32)
list(APPEND HIGHGUI_LIBRARIES comctl32 gdi32 ole32 setupapi ws2_32 vfw32)
if(MINGW64)
list(APPEND HIGHGUI_LIBRARIES avifil32 avicap32 winmm msvfw32)
list(REMOVE_ITEM HIGHGUI_LIBRARIES vfw32)

14
cmake/OpenCVFindXimea.cmake
View File

@ -9,6 +9,7 @@
#
# Created: 5 Aug 2011 by Marian Zajko (marian.zajko@ximea.com)
# Updated: 25 June 2012 by Igor Kuzmin (parafin@ximea.com)
# Updated: 22 October 2012 by Marian Zajko (marian.zajko@ximea.com)
#
set(XIMEA_FOUND)
@ -18,11 +19,15 @@ set(XIMEA_LIBRARY_DIR)
if(WIN32)
# Try to find the XIMEA API path in registry.
GET_FILENAME_COMPONENT(XIMEA_PATH "[HKEY_CURRENT_USER\\Software\\XIMEA\\CamSupport\\API;Path]" ABSOLUTE)
if(EXISTS XIMEA_PATH)
if(EXISTS ${XIMEA_PATH})
set(XIMEA_FOUND 1)
# set LIB folders
set(XIMEA_LIBRARY_DIR "${XIMEA_PATH}/x86")
if(CMAKE_CL_64)
set(XIMEA_LIBRARY_DIR "${XIMEA_PATH}/x64")
else()
set(XIMEA_LIBRARY_DIR "${XIMEA_PATH}/x86")
endif()
else()
set(XIMEA_FOUND 0)
endif()
@ -38,5 +43,4 @@ endif()
mark_as_advanced(FORCE XIMEA_FOUND)
mark_as_advanced(FORCE XIMEA_PATH)
mark_as_advanced(FORCE XIMEA_LIBRARY_DIR)
mark_as_advanced(FORCE XIMEA_LIBRARY_DIR)

2
cmake/OpenCVGenConfig.cmake
View File

@ -162,7 +162,7 @@ if(UNIX)
endif()
if(ANDROID)
install(FILES "${OpenCV_SOURCE_DIR}/android/android.toolchain.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/)
install(FILES "${OpenCV_SOURCE_DIR}/platforms/android/android.toolchain.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/)
endif()
# --------------------------------------------------------------------------------------------

7
cmake/OpenCVModule.cmake
View File

@ -303,7 +303,7 @@ macro(ocv_glob_modules)
# collect modules
set(OPENCV_INITIAL_PASS ON)
foreach(__path ${ARGN})
ocv_get_real_path(__path "${__path}")
get_filename_component(__path "${__path}" ABSOLUTE)
list(FIND __directories_observed "${__path}" __pathIdx)
if(__pathIdx GREATER -1)
@ -315,7 +315,7 @@ macro(ocv_glob_modules)
if(__ocvmodules)
list(SORT __ocvmodules)
foreach(mod ${__ocvmodules})
ocv_get_real_path(__modpath "${__path}/${mod}")
get_filename_component(__modpath "${__path}/${mod}" ABSOLUTE)
if(EXISTS "${__modpath}/CMakeLists.txt")
list(FIND __directories_observed "${__modpath}" __pathIdx)
@ -470,7 +470,8 @@ endmacro()
# ocv_create_module(<extra link dependencies>)
# ocv_create_module(SKIP_LINK)
macro(ocv_create_module)
add_library(${the_module} ${OPENCV_MODULE_TYPE} ${OPENCV_MODULE_${the_module}_HEADERS} ${OPENCV_MODULE_${the_module}_SOURCES})
add_library(${the_module} ${OPENCV_MODULE_TYPE} ${OPENCV_MODULE_${the_module}_HEADERS} ${OPENCV_MODULE_${the_module}_SOURCES}
"${OPENCV_CONFIG_FILE_INCLUDE_DIR}/cvconfig.h" "${OPENCV_CONFIG_FILE_INCLUDE_DIR}/opencv2/opencv_modules.hpp")
if(NOT "${ARGN}" STREQUAL "SKIP_LINK")
target_link_libraries(${the_module} ${OPENCV_MODULE_${the_module}_DEPS} ${OPENCV_MODULE_${the_module}_DEPS_EXT} ${OPENCV_LINKER_LIBS} ${IPP_LIBS} ${ARGN})

17
cmake/OpenCVUtils.cmake
View File

@ -411,16 +411,6 @@ macro(ocv_regex_escape var regex)
endmacro()
# get absolute path with symlinks resolved
macro(ocv_get_real_path VAR PATHSTR)
if(CMAKE_VERSION VERSION_LESS 2.8)
get_filename_component(${VAR} "${PATHSTR}" ABSOLUTE)
else()
get_filename_component(${VAR} "${PATHSTR}" REALPATH)
endif()
endmacro()
# convert list of paths to full paths
macro(ocv_convert_to_full_paths VAR)
if(${VAR})
@ -511,6 +501,13 @@ macro(ocv_parse_header2 LIBNAME HDR_PATH VARNAME)
endif()
endmacro()
# read single version info from the pkg file
macro(ocv_parse_pkg LIBNAME PKG_PATH SCOPE)
if(EXISTS "${PKG_PATH}/${LIBNAME}.pc")
file(STRINGS "${PKG_PATH}/${LIBNAME}.pc" line_to_parse REGEX "^Version:[ \t]+[0-9.]*.*$" LIMIT_COUNT 1)
STRING(REGEX REPLACE ".*Version: ([^ ]+).*" "\\1" ALIASOF_${LIBNAME}_VERSION "${line_to_parse}" )
endif()
endmacro()
################################################################################################
# short command to setup source group

6
cmake/templates/cvconfig.h.cmake
View File

@ -228,3 +228,9 @@
/* Clp support */
#cmakedefine HAVE_CLP
/* Qt support */
#cmakedefine HAVE_QT
/* Qt OpenGL support */
#cmakedefine HAVE_QT_OPENGL

4
doc/CMakeLists.txt
View File

@ -53,8 +53,8 @@ if(BUILD_DOCS AND HAVE_SPHINX)
endif()
endforeach()
file(GLOB_RECURSE _OPENCV_FILES_REF "${OpenCV_SOURCE_DIR}/android/service/doc/*.rst")
file(GLOB_RECURSE _OPENCV_FILES_REF_PICT "${OpenCV_SOURCE_DIR}/android/service/doc/*.png" "${OpenCV_SOURCE_DIR}/android/service/doc/*.jpg")
file(GLOB_RECURSE _OPENCV_FILES_REF "${OpenCV_SOURCE_DIR}/platforms/android/service/doc/*.rst")
file(GLOB_RECURSE _OPENCV_FILES_REF_PICT "${OpenCV_SOURCE_DIR}/platforms/android/service/doc/*.png" "${OpenCV_SOURCE_DIR}/platforms/android/service/doc/*.jpg")
list(APPEND OPENCV_FILES_REF ${_OPENCV_FILES_REF})
list(APPEND OPENCV_FILES_REF_PICT ${_OPENCV_FILES_REF_PICT})

2
doc/conf.py
View File

@ -239,7 +239,7 @@ latex_documents = [
u'', 'manual'),
('doc/tutorials/tutorials', 'opencv_tutorials.tex', u'The OpenCV Tutorials',
u'', 'manual'),
('android/refman', 'opencv2manager.tex', u'The OpenCV Manager Manual',
('platforms/android/refman', 'opencv2manager.tex', u'The OpenCV Manager Manual',
u'', 'manual'),
]

4
doc/tutorials/calib3d/camera_calibration/camera_calibration.rst
View File

@ -12,8 +12,8 @@ For the distortion OpenCV takes into account the radial and tangential factors.
.. math::
x_{corrected} = x( 1 + k_1 r^2 + k_2 r^4 + k^3 r^6) \\
y_{corrected} = y( 1 + k_1 r^2 + k_2 r^4 + k^3 r^6)
x_{corrected} = x( 1 + k_1 r^2 + k_2 r^4 + k_3 r^6) \\
y_{corrected} = y( 1 + k_1 r^2 + k_2 r^4 + k_3 r^6)
So for an old pixel point at :math:`(x,y)` coordinate in the input image, for a corrected output image its position will be :math:`(x_{corrected} y_{corrected})` . The presence of the radial distortion manifests in form of the "barrel" or "fish-eye" effect.

5
doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.rst
View File

@ -85,7 +85,7 @@ This tutorial code's is shown lines below. You can also download it from `here <
std::vector< DMatch > good_matches;
for( int i = 0; i < descriptors_1.rows; i++ )
{ if( matches[i].distance < 2*min_dist )
{ if( matches[i].distance <= 2*min_dist )
{ good_matches.push_back( matches[i]); }
}
@ -127,6 +127,3 @@ Result
.. image:: images/Feature_FlannMatcher_Keypoints_Result.jpg
:align: center
:height: 250pt

2
doc/tutorials/introduction/ios_install/ios_install.rst
View File

@ -37,7 +37,7 @@ Building OpenCV from Source, using CMake and Command Line
.. code-block:: bash
cd ~/<my_working_directory>
python opencv/ios/build_framework.py ios
python opencv/platforms/ios/build_framework.py ios
If everything's fine, a few minutes later you will get ~/<my_working_directory>/ios/opencv2.framework. You can add this framework to your Xcode projects.

2
index.rst
View File

@ -10,7 +10,7 @@ Welcome to opencv documentation!
:maxdepth: 2
modules/refman.rst
android/refman.rst
platforms/android/refman.rst
doc/user_guide/user_guide.rst
doc/tutorials/tutorials.rst

1
ios/configure-device_xcode.sh
View File

@ -1 +0,0 @@
cmake -GXcode -DCMAKE_TOOLCHAIN_FILE=../opencv/ios/cmake/Toolchains/Toolchain-iPhoneOS_Xcode.cmake -DCMAKE_INSTALL_PREFIX=../OpenCV_iPhoneOS ../opencv

1
ios/configure-simulator_xcode.sh
View File

@ -1 +0,0 @@
cmake -GXcode -DCMAKE_TOOLCHAIN_FILE=../opencv/ios/cmake/Toolchains/Toolchain-iPhoneSimulator_Xcode.cmake -DCMAKE_INSTALL_PREFIX=../OpenCV_iPhoneSimulator ../opencv

15
ios/readme.txt
View File

@ -1,15 +0,0 @@
Assuming that your build directory is on the same level that opencv source,
From the build directory run
../opencv/ios/configure-device_xcode.sh
or
../opencv/ios/configure-simulator_xcode.sh
Then from the same folder invoke
xcodebuild -sdk iphoneos -configuration Release -target ALL_BUILD
xcodebuild -sdk iphoneos -configuration Release -target install install
or
xcodebuild -sdk iphonesimulator -configuration Release -target ALL_BUILD
xcodebuild -sdk iphonesimulator -configuration Release -target install install

2
modules/CMakeLists.txt
View File

@ -2,4 +2,4 @@ if(NOT OPENCV_MODULES_PATH)
set(OPENCV_MODULES_PATH "${CMAKE_CURRENT_SOURCE_DIR}")
endif()
ocv_glob_modules(${OPENCV_MODULES_PATH})
ocv_glob_modules(${OPENCV_MODULES_PATH} ${OPENCV_EXTRA_MODULES_PATH})

2
modules/androidcamera/CMakeLists.txt
View File

@ -6,7 +6,7 @@ set(the_description "Auxiliary module for Android native camera support")
set(OPENCV_MODULE_TYPE STATIC)
ocv_define_module(androidcamera INTERNAL opencv_core log dl)
ocv_include_directories("${CMAKE_CURRENT_SOURCE_DIR}/camera_wrapper" "${OpenCV_SOURCE_DIR}/android/service/engine/jni/include")
ocv_include_directories("${CMAKE_CURRENT_SOURCE_DIR}/camera_wrapper" "${OpenCV_SOURCE_DIR}/platforms/android/service/engine/jni/include")
# Android source tree for native camera
SET (ANDROID_SOURCE_TREE "ANDROID_SOURCE_TREE-NOTFOUND" CACHE PATH

6
modules/calib3d/include/opencv2/calib3d/calib3d.hpp
View File

@ -639,9 +639,9 @@ CV_EXPORTS Mat findFundamentalMat( InputArray points1, InputArray points2,
double param1=3., double param2=0.99);
//! finds coordinates of epipolar lines corresponding the specified points
CV_EXPORTS void computeCorrespondEpilines( InputArray points,
int whichImage, InputArray F,
OutputArray lines );
CV_EXPORTS_W void computeCorrespondEpilines( InputArray points,
int whichImage, InputArray F,
OutputArray lines );
CV_EXPORTS_W void triangulatePoints( InputArray projMatr1, InputArray projMatr2,
InputArray projPoints1, InputArray projPoints2,

25
modules/calib3d/src/solvepnp.cpp
View File

@ -115,31 +115,6 @@ namespace cv
transform(points, modif_points, transformation);
}
class Mutex
{
public:
Mutex() {
}
void lock()
{
#ifdef HAVE_TBB
resultsMutex.lock();
#endif
}
void unlock()
{
#ifdef HAVE_TBB
resultsMutex.unlock();
#endif
}
private:
#ifdef HAVE_TBB
tbb::mutex resultsMutex;
#endif
};
struct CameraParameters
{
void init(Mat _intrinsics, Mat _distCoeffs)

20
modules/calib3d/src/stereobm.cpp
View File

@ -699,7 +699,7 @@ struct PrefilterInvoker
};
struct FindStereoCorrespInvoker
struct FindStereoCorrespInvoker : ParallelLoopBody
{
FindStereoCorrespInvoker( const Mat& _left, const Mat& _right,
Mat& _disp, CvStereoBMState* _state,
@ -713,12 +713,12 @@ struct FindStereoCorrespInvoker
validDisparityRect = _validDisparityRect;
}
void operator()( const BlockedRange& range ) const
void operator()( const Range& range ) const
{
int cols = left->cols, rows = left->rows;
int _row0 = min(cvRound(range.begin() * rows / nstripes), rows);
int _row1 = min(cvRound(range.end() * rows / nstripes), rows);
uchar *ptr = state->slidingSumBuf->data.ptr + range.begin() * stripeBufSize;
int _row0 = min(cvRound(range.start * rows / nstripes), rows);
int _row1 = min(cvRound(range.end * rows / nstripes), rows);
uchar *ptr = state->slidingSumBuf->data.ptr + range.start * stripeBufSize;
int FILTERED = (state->minDisparity - 1)*16;
Rect roi = validDisparityRect & Rect(0, _row0, cols, _row1 - _row0);
@ -871,14 +871,10 @@ static void findStereoCorrespondenceBM( const Mat& left0, const Mat& right0, Mat
const bool useShorts = false;
#endif
#ifdef HAVE_TBB
const double SAD_overhead_coeff = 10.0;
double N0 = 8000000 / (useShorts ? 1 : 4); // approx tbb's min number instructions reasonable for one thread
double maxStripeSize = min(max(N0 / (width * ndisp), (wsz-1) * SAD_overhead_coeff), (double)height);
int nstripes = cvCeil(height / maxStripeSize);
#else
const int nstripes = 1;
#endif
int bufSize = max(bufSize0 * nstripes, max(bufSize1 * 2, bufSize2));
@ -898,9 +894,9 @@ static void findStereoCorrespondenceBM( const Mat& left0, const Mat& right0, Mat
state->minDisparity, state->numberOfDisparities,
state->SADWindowSize);
parallel_for(BlockedRange(0, nstripes),
FindStereoCorrespInvoker(left, right, disp, state, nstripes,
bufSize0, useShorts, validDisparityRect));
parallel_for_(Range(0, nstripes),
FindStereoCorrespInvoker(left, right, disp, state, nstripes,
bufSize0, useShorts, validDisparityRect));
if( state->speckleRange >= 0 && state->speckleWindowSize > 0 )
{

2
modules/contrib/src/inputoutput.cpp
View File

@ -1,7 +1,7 @@
#include "opencv2/contrib/contrib.hpp"
#ifdef WIN32
#if defined(WIN32) || defined(_WIN32)
#include <windows.h>
#include <tchar.h>
#else

33
modules/core/doc/basic_structures.rst
View File

@ -489,6 +489,9 @@ Various Ptr constructors.
.. ocv:function:: Ptr::Ptr(_Tp* _obj)
.. ocv:function:: Ptr::Ptr(const Ptr& ptr)
:param _obj: Object for copy.
:param ptr: Object for copy.
Ptr::~Ptr
---------
The Ptr destructor.
@ -501,6 +504,8 @@ Assignment operator.
.. ocv:function:: Ptr& Ptr::operator = (const Ptr& ptr)
:param ptr: Object for assignment.
Decrements own reference counter (with ``release()``) and increments ptr's reference counter.
Ptr::addref
@ -1465,6 +1470,7 @@ Adds elements to the bottom of the matrix.
.. ocv:function:: void Mat::push_back( const Mat& m )
:param elem: Added element(s).
:param m: Added line(s).
The methods add one or more elements to the bottom of the matrix. They emulate the corresponding method of the STL vector class. When ``elem`` is ``Mat`` , its type and the number of columns must be the same as in the container matrix.
@ -1691,7 +1697,7 @@ Returns the depth of a matrix element.
.. ocv:function:: int Mat::depth() const
The method returns the identifier of the matrix element depth (the type of each individual channel). For example, for a 16-bit signed 3-channel array, the method returns ``CV_16S`` . A complete list of matrix types contains the following values:
The method returns the identifier of the matrix element depth (the type of each individual channel). For example, for a 16-bit signed element array, the method returns ``CV_16S`` . A complete list of matrix types contains the following values:
* ``CV_8U`` - 8-bit unsigned integers ( ``0..255`` )
@ -2160,7 +2166,6 @@ Various SparseMat constructors.
:param dims: Array dimensionality.
:param _sizes: Sparce matrix size on all dementions.
:param _type: Sparse matrix data type.
:param try1d: if try1d is true and matrix is a single-column matrix (Nx1), then the sparse matrix will be 1-dimensional.
SparseMat::~SparseMat
---------------------
@ -2175,6 +2180,8 @@ Provides sparse matrix assignment operators.
.. ocv:function:: SparseMat& SparseMat::operator = (const SparseMat& m)
.. ocv:function:: SparseMat& SparseMat::operator = (const Mat& m)
:param m: Matrix for assignment.
The last variant is equivalent to the corresponding constructor with try1d=false.
@ -2202,6 +2209,10 @@ Convert sparse matrix with possible type change and scaling.
.. ocv:function:: void SparseMat::convertTo( SparseMat& m, int rtype, double alpha=1 ) const
.. ocv:function:: void SparseMat::convertTo( Mat& m, int rtype, double alpha=1, double beta=0 ) const
:param m: Destination matrix.
:param rtype: Destination matrix type.
:param alpha: Conversion multiplier.
The first version converts arbitrary sparse matrix to dense matrix and multiplies all the matrix elements by the specified scalar.
The second versiob converts sparse matrix to dense matrix with optional type conversion and scaling.
When rtype=-1, the destination element type will be the same as the sparse matrix element type.
@ -2294,7 +2305,7 @@ The method returns the number of matrix channels.
SparseMat::size
---------------
Returns the array of sizes or matrix size by i dimention and 0 if the matrix is not allocated.
Returns the array of sizes or matrix size by i dimension and 0 if the matrix is not allocated.
.. ocv:function:: const int* SparseMat::size() const
.. ocv:function:: int SparseMat::size(int i) const
@ -2322,6 +2333,11 @@ Compute element hash value from the element indices.
.. ocv:function:: size_t SparseMat::hash(int i0, int i1, int i2) const
.. ocv:function:: size_t SparseMat::hash(const int* idx) const
:param i0: The first dimension index.
:param i1: The second dimension index.
:param i2: The third dimension index.
:param idx: Array of element indices for multidimensional matices.
SparseMat::ptr
--------------
Low-level element-access functions, special variants for 1D, 2D, 3D cases, and the generic one for n-D case.
@ -2331,6 +2347,12 @@ Low-level element-access functions, special variants for 1D, 2D, 3D cases, and t
.. ocv:function:: uchar* SparseMat::ptr(int i0, int i1, int i2, bool createMissing, size_t* hashval=0)
.. ocv:function:: uchar* SparseMat::ptr(const int* idx, bool createMissing, size_t* hashval=0)
:param i0: The first dimension index.
:param i1: The second dimension index.
:param i2: The third dimension index.
:param idx: Array of element indices for multidimensional matices.
:param createMissing: Create new element with 0 value if it does not exist in SparseMat.
Return pointer to the matrix element. If the element is there (it is non-zero), the pointer to it is returned.
If it is not there and ``createMissing=false``, NULL pointer is returned. If it is not there and ``createMissing=true``,
the new elementis created and initialized with 0. Pointer to it is returned. If the optional hashval pointer is not ``NULL``,
@ -2344,6 +2366,11 @@ Erase the specified matrix element. When there is no such an element, the method
.. ocv:function:: void SparseMat::erase(int i0, int i1, int i2, size_t* hashval=0)
.. ocv:function:: void SparseMat::erase(const int* idx, size_t* hashval=0)
:param i0: The first dimension index.
:param i1: The second dimension index.
:param i2: The third dimension index.
:param idx: Array of element indices for multidimensional matices.
SparseMat\_
-----------
.. ocv:class:: SparseMat_

8
modules/core/doc/clustering.rst
View File

@ -17,12 +17,18 @@ Finds centers of clusters and groups input samples around the clusters.
:param samples: Floating-point matrix of input samples, one row per sample.
:param data: Data for clustering.
:param cluster_count: Number of clusters to split the set by.
:param K: Number of clusters to split the set by.
:param labels: Input/output integer array that stores the cluster indices for every sample.
:param criteria: The algorithm termination criteria, that is, the maximum number of iterations and/or the desired accuracy. The accuracy is specified as ``criteria.epsilon``. As soon as each of the cluster centers moves by less than ``criteria.epsilon`` on some iteration, the algorithm stops.
:param termcrit: The algorithm termination criteria, that is, the maximum number of iterations and/or the desired accuracy.
:param attempts: Flag to specify the number of times the algorithm is executed using different initial labellings. The algorithm returns the labels that yield the best compactness (see the last function parameter).
:param rng: CvRNG state initialized by RNG().
@ -37,6 +43,8 @@ Finds centers of clusters and groups input samples around the clusters.
:param centers: Output matrix of the cluster centers, one row per each cluster center.
:param _centers: Output matrix of the cluster centers, one row per each cluster center.
:param compactness: The returned value that is described below.
The function ``kmeans`` implements a k-means algorithm that finds the

8
modules/core/doc/drawing_functions.rst
View File

@ -234,6 +234,8 @@ Calculates the width and height of a text string.
:param text: Input text string.
:param text_string: Input text string in C format.
:param fontFace: Font to use. See the :ocv:func:`putText` for details.
:param fontScale: Font scale. See the :ocv:func:`putText` for details.
@ -242,6 +244,12 @@ Calculates the width and height of a text string.
:param baseLine: Output parameter - y-coordinate of the baseline relative to the bottom-most text point.
:param baseline: Output parameter - y-coordinate of the baseline relative to the bottom-most text point.
:param font: Font description in terms of old C API.
:param text_size: Output parameter - The size of a box that contains the specified text.
The function ``getTextSize`` calculates and returns the size of a box that contains the specified text.
That is, the following code renders some text, the tight box surrounding it, and the baseline: ::

2
modules/core/doc/operations_on_arrays.rst
View File

@ -1062,6 +1062,8 @@ Returns the determinant of a square floating-point matrix.
:param mtx: input matrix that must have ``CV_32FC1`` or ``CV_64FC1`` type and square size.
:param mat: input matrix that must have ``CV_32FC1`` or ``CV_64FC1`` type and square size.
The function ``determinant`` calculates and returns the determinant of the specified matrix. For small matrices ( ``mtx.cols=mtx.rows<=3`` ),
the direct method is used. For larger matrices, the function uses LU factorization with partial pivoting.

9
modules/core/doc/utility_and_system_functions_and_macros.rst
View File

@ -173,6 +173,8 @@ Checks a condition at runtime and throws exception if it fails
.. ocv:function:: CV_Assert(expr)
:param expr: Expression for check.
The macros ``CV_Assert`` (and ``CV_DbgAssert``) evaluate the specified expression. If it is 0, the macros raise an error (see :ocv:func:`error` ). The macro ``CV_Assert`` checks the condition in both Debug and Release configurations while ``CV_DbgAssert`` is only retained in the Debug configuration.
@ -188,8 +190,14 @@ Signals an error and raises an exception.
:param status: Error code. Normally, it is a negative value. The list of pre-defined error codes can be found in ``cxerror.h`` .
:param func_name: The function name where error occurs.
:param err_msg: Text of the error message.
:param file_name: The file name where error occurs.
:param line: The line number where error occurs.
:param args: ``printf`` -like formatted error message in parentheses.
The function and the helper macros ``CV_Error`` and ``CV_Error_``: ::
@ -249,6 +257,7 @@ Allocates an aligned memory buffer.
.. ocv:cfunction:: void* cvAlloc( size_t size )
:param size: Allocated buffer size.
:param bufSize: Allocated buffer size.
The function allocates the buffer of the specified size and returns it. When the buffer size is 16 bytes or more, the returned buffer is aligned to 16 bytes.

11
modules/core/doc/xml_yaml_persistence.rst
View File

@ -181,6 +181,17 @@ Opens a file.
.. ocv:function:: bool FileStorage::open(const string& filename, int flags, const string& encoding=string())
:param filename: Name of the file to open or the text string to read the data from.
Extension of the file (``.xml`` or ``.yml``/``.yaml``) determines its format (XML or YAML respectively).
Also you can append ``.gz`` to work with compressed files, for example ``myHugeMatrix.xml.gz``.
If both ``FileStorage::WRITE`` and ``FileStorage::MEMORY`` flags are specified, ``source``
is used just to specify the output file format (e.g. ``mydata.xml``, ``.yml`` etc.).
:param flags: Mode of operation. See FileStorage constructor for more details.
:param encoding: Encoding of the file. Note that UTF-16 XML encoding is not supported currently and you should use 8-bit encoding instead of it.
See description of parameters in :ocv:func:`FileStorage::FileStorage`. The method calls :ocv:func:`FileStorage::release` before opening the file.

8
modules/core/include/opencv2/core/core.hpp
View File

@ -1322,7 +1322,8 @@ public:
EXPR = 6 << KIND_SHIFT,
OPENGL_BUFFER = 7 << KIND_SHIFT,
OPENGL_TEXTURE = 8 << KIND_SHIFT,
GPU_MAT = 9 << KIND_SHIFT
GPU_MAT = 9 << KIND_SHIFT,
OCL_MAT =10 << KIND_SHIFT
};
_InputArray();
@ -3409,8 +3410,6 @@ public:
//! converts dense 2d matrix to the sparse form
/*!
\param m the input matrix
\param try1d if true and m is a single-column matrix (Nx1),
then the sparse matrix will be 1-dimensional.
*/
explicit SparseMat(const Mat& m);
//! converts old-style sparse matrix to the new-style. All the data is copied
@ -4813,6 +4812,9 @@ public:
~AutoLock() { mutex->unlock(); }
protected:
Mutex* mutex;
private:
AutoLock(const AutoLock&);
AutoLock& operator = (const AutoLock&);
};
}

7
modules/core/include/opencv2/core/internal.hpp
View File

@ -50,6 +50,9 @@
#include <vector>
#include "opencv2/core/core.hpp"
#include "opencv2/core/types_c.h"
#if defined WIN32 || defined _WIN32
# ifndef WIN32
# define WIN32
@ -251,6 +254,10 @@ namespace cv
body(range);
}
#endif
// Returns a static string if there is a parallel framework,
// NULL otherwise.
CV_EXPORTS const char* currentParallelFramework();
} //namespace cv
#define CV_INIT_ALGORITHM(classname, algname, memberinit) \

4
modules/core/perf/perf_reduce.cpp
View File

@ -34,7 +34,8 @@ PERF_TEST_P(Size_MatType_ROp, reduceR,
declare.in(src, WARMUP_RNG).out(vec);
declare.time(100);
TEST_CYCLE() reduce(src, vec, 0, reduceOp, ddepth);
int runs = 15;
TEST_CYCLE_MULTIRUN(runs) reduce(src, vec, 0, reduceOp, ddepth);
SANITY_CHECK(vec, 1);
}
@ -65,4 +66,3 @@ PERF_TEST_P(Size_MatType_ROp, reduceC,
SANITY_CHECK(vec, 1);
}

57
modules/core/src/matmul.cpp
View File

@ -2855,9 +2855,9 @@ PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, int maxComp
if( _mean.data )
{
CV_Assert( _mean.size() == mean_sz );
CV_Assert( _mean.size() == mean_sz );
_mean.convertTo(mean, ctype);
covar_flags |= CV_COVAR_USE_AVG;
covar_flags |= CV_COVAR_USE_AVG;
}
calcCovarMatrix( data, covar, mean, covar_flags, ctype );
@ -2901,6 +2901,36 @@ PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, int maxComp
return *this;
}
template <typename T>
int computeCumulativeEnergy(const Mat& eigenvalues, double retainedVariance)
{
CV_DbgAssert( eigenvalues.type() == DataType<T>::type );
Mat g(eigenvalues.size(), DataType<T>::type);
for(int ig = 0; ig < g.rows; ig++)
{
g.at<T>(ig, 0) = 0;
for(int im = 0; im <= ig; im++)
{
g.at<T>(ig,0) += eigenvalues.at<T>(im,0);
}
}
int L;
for(L = 0; L < eigenvalues.rows; L++)
{
double energy = g.at<T>(L, 0) / g.at<T>(g.rows - 1, 0);
if(energy > retainedVariance)
break;
}
L = std::max(2, L);
return L;
}
PCA& PCA::computeVar(InputArray _data, InputArray __mean, int flags, double retainedVariance)
{
Mat data = _data.getMat(), _mean = __mean.getMat();
@ -2977,26 +3007,11 @@ PCA& PCA::computeVar(InputArray _data, InputArray __mean, int flags, double reta
}
// compute the cumulative energy content for each eigenvector
Mat g(eigenvalues.size(), ctype);
for(int ig = 0; ig < g.rows; ig++)
{
g.at<float>(ig,0) = 0;
for(int im = 0; im <= ig; im++)
{
g.at<float>(ig,0) += eigenvalues.at<float>(im,0);
}
}
int L;
for(L = 0; L < eigenvalues.rows; L++)
{
double energy = g.at<float>(L, 0) / g.at<float>(g.rows - 1, 0);
if(energy > retainedVariance)
break;
}
L = std::max(2, L);
if (ctype == CV_32F)
L = computeCumulativeEnergy<float>(eigenvalues, retainedVariance);
else
L = computeCumulativeEnergy<double>(eigenvalues, retainedVariance);
// use clone() to physically copy the data and thus deallocate the original matrices
eigenvalues = eigenvalues.rowRange(0,L).clone();

30
modules/core/src/matrix.cpp
View File

@ -980,6 +980,11 @@ Mat _InputArray::getMat(int i) const
return !v.empty() ? Mat(size(i), t, (void*)&v[0]) : Mat();
}
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
CV_Assert( k == STD_VECTOR_MAT );
//if( k == STD_VECTOR_MAT )
{
@ -1062,6 +1067,11 @@ void _InputArray::getMatVector(vector<Mat>& mv) const
return;
}
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
CV_Assert( k == STD_VECTOR_MAT );
//if( k == STD_VECTOR_MAT )
{
@ -1189,6 +1199,11 @@ Size _InputArray::size(int i) const
return tex->size();
}
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
CV_Assert( k == GPU_MAT );
//if( k == GPU_MAT )
{
@ -1303,6 +1318,11 @@ bool _InputArray::empty() const
if( k == OPENGL_TEXTURE )
return ((const ogl::Texture2D*)obj)->empty();
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
CV_Assert( k == GPU_MAT );
//if( k == GPU_MAT )
return ((const gpu::GpuMat*)obj)->empty();
@ -1523,6 +1543,11 @@ void _OutputArray::create(int dims, const int* sizes, int mtype, int i, bool all
return;
}
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
if( k == NONE )
{
CV_Error(CV_StsNullPtr, "create() called for the missing output array" );
@ -1634,6 +1659,11 @@ void _OutputArray::release() const
return;
}
if( k == OCL_MAT )
{
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
}
CV_Assert( k == STD_VECTOR_MAT );
//if( k == STD_VECTOR_MAT )
{

32
modules/core/src/parallel.cpp
View File

@ -110,8 +110,16 @@
#endif
#endif
#if defined HAVE_TBB || defined HAVE_CSTRIPES || defined HAVE_OPENMP || defined HAVE_GCD || defined HAVE_CONCURRENCY
#define HAVE_PARALLEL_FRAMEWORK
#if defined HAVE_TBB && TBB_VERSION_MAJOR*100 + TBB_VERSION_MINOR >= 202
# define CV_PARALLEL_FRAMEWORK "tbb"
#elif defined HAVE_CSTRIPES
# define CV_PARALLEL_FRAMEWORK "cstripes"
#elif defined HAVE_OPENMP
# define CV_PARALLEL_FRAMEWORK "openmp"
#elif defined HAVE_GCD
# define CV_PARALLEL_FRAMEWORK "gcd"
#elif defined HAVE_CONCURRENCY
# define CV_PARALLEL_FRAMEWORK "ms-concurrency"
#endif
namespace cv
@ -121,7 +129,7 @@ namespace cv
namespace
{
#ifdef HAVE_PARALLEL_FRAMEWORK
#ifdef CV_PARALLEL_FRAMEWORK
class ParallelLoopBodyWrapper
{
public:
@ -218,7 +226,7 @@ public:
static SchedPtr pplScheduler;
#endif
#endif // HAVE_PARALLEL_FRAMEWORK
#endif // CV_PARALLEL_FRAMEWORK
} //namespace
@ -226,7 +234,7 @@ static SchedPtr pplScheduler;
void cv::parallel_for_(const cv::Range& range, const cv::ParallelLoopBody& body, double nstripes)
{
#ifdef HAVE_PARALLEL_FRAMEWORK
#ifdef CV_PARALLEL_FRAMEWORK
if(numThreads != 0)
{
@ -281,7 +289,7 @@ void cv::parallel_for_(const cv::Range& range, const cv::ParallelLoopBody& body,
}
else
#endif // HAVE_PARALLEL_FRAMEWORK
#endif // CV_PARALLEL_FRAMEWORK
{
(void)nstripes;
body(range);
@ -290,7 +298,7 @@ void cv::parallel_for_(const cv::Range& range, const cv::ParallelLoopBody& body,
int cv::getNumThreads(void)
{
#ifdef HAVE_PARALLEL_FRAMEWORK
#ifdef CV_PARALLEL_FRAMEWORK
if(numThreads == 0)
return 1;
@ -333,7 +341,7 @@ int cv::getNumThreads(void)
void cv::setNumThreads( int threads )
{
(void)threads;
#ifdef HAVE_PARALLEL_FRAMEWORK
#ifdef CV_PARALLEL_FRAMEWORK
numThreads = threads;
#endif
@ -480,6 +488,14 @@ int cv::getNumberOfCPUs(void)
#endif
}
const char* cv::currentParallelFramework() {
#ifdef CV_PARALLEL_FRAMEWORK
return CV_PARALLEL_FRAMEWORK;
#else
return NULL;
#endif
}
CV_IMPL void cvSetNumThreads(int nt)
{
cv::setNumThreads(nt);

2
modules/features2d/doc/common_interfaces_of_descriptor_matchers.rst
View File

@ -217,7 +217,7 @@ For each query descriptor, finds the training descriptors not farther than the s
:param compactResult: Parameter used when the mask (or masks) is not empty. If ``compactResult`` is false, the ``matches`` vector has the same size as ``queryDescriptors`` rows. If ``compactResult`` is true, the ``matches`` vector does not contain matches for fully masked-out query descriptors.
:param maxDistance: Threshold for the distance between matched descriptors.
:param maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than ``maxDistance``. Found matches are returned in the distance increasing order.

38
modules/features2d/src/detectors.cpp
View File

@ -214,7 +214,7 @@ static void keepStrongest( int N, vector<KeyPoint>& keypoints )
}
namespace {
class GridAdaptedFeatureDetectorInvoker
class GridAdaptedFeatureDetectorInvoker : public ParallelLoopBody
{
private:
int gridRows_, gridCols_;
@ -223,29 +223,24 @@ private:
const Mat& image_;
const Mat& mask_;
const Ptr<FeatureDetector>& detector_;
#ifdef HAVE_TBB
tbb::mutex* kptLock_;
#endif
Mutex* kptLock_;
GridAdaptedFeatureDetectorInvoker& operator=(const GridAdaptedFeatureDetectorInvoker&); // to quiet MSVC
public:
GridAdaptedFeatureDetectorInvoker(const Ptr<FeatureDetector>& detector, const Mat& image, const Mat& mask, vector<KeyPoint>& keypoints, int maxPerCell, int gridRows, int gridCols
#ifdef HAVE_TBB
, tbb::mutex* kptLock
#endif
) : gridRows_(gridRows), gridCols_(gridCols), maxPerCell_(maxPerCell),
keypoints_(keypoints), image_(image), mask_(mask), detector_(detector)
#ifdef HAVE_TBB
, kptLock_(kptLock)
#endif
GridAdaptedFeatureDetectorInvoker(const Ptr<FeatureDetector>& detector, const Mat& image, const Mat& mask,
vector<KeyPoint>& keypoints, int maxPerCell, int gridRows, int gridCols,
cv::Mutex* kptLock)
: gridRows_(gridRows), gridCols_(gridCols), maxPerCell_(maxPerCell),
keypoints_(keypoints), image_(image), mask_(mask), detector_(detector),
kptLock_(kptLock)
{
}
void operator() (const BlockedRange& range) const
void operator() (const Range& range) const
{
for (int i = range.begin(); i < range.end(); ++i)
for (int i = range.start; i < range.end; ++i)
{
int celly = i / gridCols_;
int cellx = i - celly * gridCols_;
@ -270,9 +265,8 @@ public:
it->pt.x += col_range.start;
it->pt.y += row_range.start;
}
#ifdef HAVE_TBB
tbb::mutex::scoped_lock join_keypoints(*kptLock_);
#endif
cv::AutoLock join_keypoints(*kptLock_);
keypoints_.insert( keypoints_.end(), sub_keypoints.begin(), sub_keypoints.end() );
}
}
@ -289,13 +283,9 @@ void GridAdaptedFeatureDetector::detectImpl( const Mat& image, vector<KeyPoint>&
keypoints.reserve(maxTotalKeypoints);
int maxPerCell = maxTotalKeypoints / (gridRows * gridCols);
#ifdef HAVE_TBB
tbb::mutex kptLock;
cv::parallel_for(cv::BlockedRange(0, gridRows * gridCols),
cv::Mutex kptLock;
cv::parallel_for_(cv::Range(0, gridRows * gridCols),
GridAdaptedFeatureDetectorInvoker(detector, image, mask, keypoints, maxPerCell, gridRows, gridCols, &kptLock));
#else
GridAdaptedFeatureDetectorInvoker(detector, image, mask, keypoints, maxPerCell, gridRows, gridCols)(cv::BlockedRange(0, gridRows * gridCols));
#endif
}
/*

16
modules/gpu/CMakeLists.txt
View File

@ -45,16 +45,16 @@ if(HAVE_CUDA)
set(cuda_link_libs ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})
if(WITH_NVCUVID)
set(cuda_link_libs ${cuda_link_libs} ${CUDA_nvcuvid_LIBRARY})
endif()
set(cuda_link_libs ${cuda_link_libs} ${CUDA_CUDA_LIBRARY} ${CUDA_nvcuvid_LIBRARY})
if(WIN32)
find_cuda_helper_libs(nvcuvenc)
set(cuda_link_libs ${cuda_link_libs} ${CUDA_nvcuvenc_LIBRARY})
endif()
if(WIN32)
find_cuda_helper_libs(nvcuvenc)
set(cuda_link_libs ${cuda_link_libs} ${CUDA_nvcuvenc_LIBRARY})
endif()
if(WITH_FFMPEG)
set(cuda_link_libs ${cuda_link_libs} ${HIGHGUI_LIBRARIES})
if(WITH_FFMPEG)
set(cuda_link_libs ${cuda_link_libs} ${HIGHGUI_LIBRARIES})
endif()
endif()
else()
set(lib_cuda "")

181
modules/gpu/include/opencv2/gpu/device/detail/color_detail.hpp
View File

@ -120,11 +120,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2RGB()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ RGB2RGB(const RGB2RGB& other_)
:unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ RGB2RGB() {}
__host__ __device__ __forceinline__ RGB2RGB(const RGB2RGB&) {}
};
template <> struct RGB2RGB<uchar, 4, 4, 2> : unary_function<uint, uint>
@ -141,8 +138,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2RGB():unary_function<uint, uint>(){}
__device__ __forceinline__ RGB2RGB(const RGB2RGB& other_):unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ RGB2RGB() {}
__host__ __device__ __forceinline__ RGB2RGB(const RGB2RGB&) {}
};
}
@ -203,8 +200,8 @@ namespace cv { namespace gpu { namespace device
return RGB2RGB5x5Converter<green_bits, bidx>::cvt(src);
}
__device__ __forceinline__ RGB2RGB5x5():unary_function<uchar3, ushort>(){}
__device__ __forceinline__ RGB2RGB5x5(const RGB2RGB5x5& other_):unary_function<uchar3, ushort>(){}
__host__ __device__ __forceinline__ RGB2RGB5x5() {}
__host__ __device__ __forceinline__ RGB2RGB5x5(const RGB2RGB5x5&) {}
};
template<int bidx, int green_bits> struct RGB2RGB5x5<4, bidx,green_bits> : unary_function<uint, ushort>
@ -214,8 +211,8 @@ namespace cv { namespace gpu { namespace device
return RGB2RGB5x5Converter<green_bits, bidx>::cvt(src);
}
__device__ __forceinline__ RGB2RGB5x5():unary_function<uint, ushort>(){}
__device__ __forceinline__ RGB2RGB5x5(const RGB2RGB5x5& other_):unary_function<uint, ushort>(){}
__host__ __device__ __forceinline__ RGB2RGB5x5() {}
__host__ __device__ __forceinline__ RGB2RGB5x5(const RGB2RGB5x5&) {}
};
}
@ -282,8 +279,8 @@ namespace cv { namespace gpu { namespace device
RGB5x52RGBConverter<green_bits, bidx>::cvt(src, dst);
return dst;
}
__device__ __forceinline__ RGB5x52RGB():unary_function<ushort, uchar3>(){}
__device__ __forceinline__ RGB5x52RGB(const RGB5x52RGB& other_):unary_function<ushort, uchar3>(){}
__host__ __device__ __forceinline__ RGB5x52RGB() {}
__host__ __device__ __forceinline__ RGB5x52RGB(const RGB5x52RGB&) {}
};
@ -295,8 +292,8 @@ namespace cv { namespace gpu { namespace device
RGB5x52RGBConverter<green_bits, bidx>::cvt(src, dst);
return dst;
}
__device__ __forceinline__ RGB5x52RGB():unary_function<ushort, uint>(){}
__device__ __forceinline__ RGB5x52RGB(const RGB5x52RGB& other_):unary_function<ushort, uint>(){}
__host__ __device__ __forceinline__ RGB5x52RGB() {}
__host__ __device__ __forceinline__ RGB5x52RGB(const RGB5x52RGB&) {}
};
}
@ -325,9 +322,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ Gray2RGB():unary_function<T, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ Gray2RGB(const Gray2RGB& other_)
: unary_function<T, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ Gray2RGB() {}
__host__ __device__ __forceinline__ Gray2RGB(const Gray2RGB&) {}
};
template <> struct Gray2RGB<uchar, 4> : unary_function<uchar, uint>
@ -342,8 +338,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ Gray2RGB():unary_function<uchar, uint>(){}
__device__ __forceinline__ Gray2RGB(const Gray2RGB& other_):unary_function<uchar, uint>(){}
__host__ __device__ __forceinline__ Gray2RGB() {}
__host__ __device__ __forceinline__ Gray2RGB(const Gray2RGB&) {}
};
}
@ -384,8 +380,8 @@ namespace cv { namespace gpu { namespace device
return Gray2RGB5x5Converter<green_bits>::cvt(src);
}
__device__ __forceinline__ Gray2RGB5x5():unary_function<uchar, ushort>(){}
__device__ __forceinline__ Gray2RGB5x5(const Gray2RGB5x5& other_):unary_function<uchar, ushort>(){}
__host__ __device__ __forceinline__ Gray2RGB5x5() {}
__host__ __device__ __forceinline__ Gray2RGB5x5(const Gray2RGB5x5&) {}
};
}
@ -426,8 +422,8 @@ namespace cv { namespace gpu { namespace device
{
return RGB5x52GrayConverter<green_bits>::cvt(src);
}
__device__ __forceinline__ RGB5x52Gray() : unary_function<ushort, uchar>(){}
__device__ __forceinline__ RGB5x52Gray(const RGB5x52Gray& other_) : unary_function<ushort, uchar>(){}
__host__ __device__ __forceinline__ RGB5x52Gray() {}
__host__ __device__ __forceinline__ RGB5x52Gray(const RGB5x52Gray&) {}
};
}
@ -467,9 +463,8 @@ namespace cv { namespace gpu { namespace device
{
return RGB2GrayConvert<bidx>(&src.x);
}
__device__ __forceinline__ RGB2Gray() : unary_function<typename TypeVec<T, scn>::vec_type, T>(){}
__device__ __forceinline__ RGB2Gray(const RGB2Gray& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, T>(){}
__host__ __device__ __forceinline__ RGB2Gray() {}
__host__ __device__ __forceinline__ RGB2Gray(const RGB2Gray&) {}
};
template <int bidx> struct RGB2Gray<uchar, 4, bidx> : unary_function<uint, uchar>
@ -478,8 +473,8 @@ namespace cv { namespace gpu { namespace device
{
return RGB2GrayConvert<bidx>(src);
}
__device__ __forceinline__ RGB2Gray() : unary_function<uint, uchar>(){}
__device__ __forceinline__ RGB2Gray(const RGB2Gray& other_) : unary_function<uint, uchar>(){}
__host__ __device__ __forceinline__ RGB2Gray() {}
__host__ __device__ __forceinline__ RGB2Gray(const RGB2Gray&) {}
};
}
@ -529,10 +524,8 @@ namespace cv { namespace gpu { namespace device
RGB2YUVConvert<bidx>(&src.x, dst);
return dst;
}
__device__ __forceinline__ RGB2YUV()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ RGB2YUV(const RGB2YUV& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ RGB2YUV() {}
__host__ __device__ __forceinline__ RGB2YUV(const RGB2YUV&) {}
};
}
@ -609,10 +602,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ YUV2RGB()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ YUV2RGB(const YUV2RGB& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ YUV2RGB() {}
__host__ __device__ __forceinline__ YUV2RGB(const YUV2RGB&) {}
};
template <int bidx> struct YUV2RGB<uchar, 4, 4, bidx> : unary_function<uint, uint>
@ -621,8 +612,8 @@ namespace cv { namespace gpu { namespace device
{
return YUV2RGBConvert<bidx>(src);
}
__device__ __forceinline__ YUV2RGB() : unary_function<uint, uint>(){}
__device__ __forceinline__ YUV2RGB(const YUV2RGB& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ YUV2RGB() {}
__host__ __device__ __forceinline__ YUV2RGB(const YUV2RGB&) {}
};
}
@ -689,10 +680,8 @@ namespace cv { namespace gpu { namespace device
RGB2YCrCbConvert<bidx>(&src.x, dst);
return dst;
}
__device__ __forceinline__ RGB2YCrCb()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ RGB2YCrCb(const RGB2YCrCb& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ RGB2YCrCb() {}
__host__ __device__ __forceinline__ RGB2YCrCb(const RGB2YCrCb&) {}
};
template <int bidx> struct RGB2YCrCb<uchar, 4, 4, bidx> : unary_function<uint, uint>
@ -702,8 +691,8 @@ namespace cv { namespace gpu { namespace device
return RGB2YCrCbConvert<bidx>(src);
}
__device__ __forceinline__ RGB2YCrCb() : unary_function<uint, uint>(){}
__device__ __forceinline__ RGB2YCrCb(const RGB2YCrCb& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ RGB2YCrCb() {}
__host__ __device__ __forceinline__ RGB2YCrCb(const RGB2YCrCb&) {}
};
}
@ -771,10 +760,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ YCrCb2RGB()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ YCrCb2RGB(const YCrCb2RGB& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ YCrCb2RGB() {}
__host__ __device__ __forceinline__ YCrCb2RGB(const YCrCb2RGB&) {}
};
template <int bidx> struct YCrCb2RGB<uchar, 4, 4, bidx> : unary_function<uint, uint>
@ -783,8 +770,8 @@ namespace cv { namespace gpu { namespace device
{
return YCrCb2RGBConvert<bidx>(src);
}
__device__ __forceinline__ YCrCb2RGB() : unary_function<uint, uint>(){}
__device__ __forceinline__ YCrCb2RGB(const YCrCb2RGB& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ YCrCb2RGB() {}
__host__ __device__ __forceinline__ YCrCb2RGB(const YCrCb2RGB&) {}
};
}
@ -849,10 +836,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2XYZ()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ RGB2XYZ(const RGB2XYZ& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ RGB2XYZ() {}
__host__ __device__ __forceinline__ RGB2XYZ(const RGB2XYZ&) {}
};
template <int bidx> struct RGB2XYZ<uchar, 4, 4, bidx> : unary_function<uint, uint>
@ -861,8 +846,8 @@ namespace cv { namespace gpu { namespace device
{
return RGB2XYZConvert<bidx>(src);
}
__device__ __forceinline__ RGB2XYZ() : unary_function<uint, uint>(){}
__device__ __forceinline__ RGB2XYZ(const RGB2XYZ& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ RGB2XYZ() {}
__host__ __device__ __forceinline__ RGB2XYZ(const RGB2XYZ&) {}
};
}
@ -926,10 +911,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ XYZ2RGB()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ XYZ2RGB(const XYZ2RGB& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ XYZ2RGB() {}
__host__ __device__ __forceinline__ XYZ2RGB(const XYZ2RGB&) {}
};
template <int bidx> struct XYZ2RGB<uchar, 4, 4, bidx> : unary_function<uint, uint>
@ -938,8 +921,8 @@ namespace cv { namespace gpu { namespace device
{
return XYZ2RGBConvert<bidx>(src);
}
__device__ __forceinline__ XYZ2RGB() : unary_function<uint, uint>(){}
__device__ __forceinline__ XYZ2RGB(const XYZ2RGB& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ XYZ2RGB() {}
__host__ __device__ __forceinline__ XYZ2RGB(const XYZ2RGB&) {}
};
}
@ -1066,10 +1049,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2HSV()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ RGB2HSV(const RGB2HSV& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ RGB2HSV() {}
__host__ __device__ __forceinline__ RGB2HSV(const RGB2HSV&) {}
};
template <int bidx, int hr> struct RGB2HSV<uchar, 4, 4, bidx, hr> : unary_function<uint, uint>
@ -1078,8 +1059,8 @@ namespace cv { namespace gpu { namespace device
{
return RGB2HSVConvert<bidx, hr>(src);
}
__device__ __forceinline__ RGB2HSV():unary_function<uint, uint>(){}
__device__ __forceinline__ RGB2HSV(const RGB2HSV& other_):unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ RGB2HSV() {}
__host__ __device__ __forceinline__ RGB2HSV(const RGB2HSV&) {}
};
}
@ -1208,10 +1189,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ HSV2RGB()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ HSV2RGB(const HSV2RGB& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ HSV2RGB() {}
__host__ __device__ __forceinline__ HSV2RGB(const HSV2RGB&) {}
};
template <int bidx, int hr> struct HSV2RGB<uchar, 4, 4, bidx, hr> : unary_function<uint, uint>
@ -1220,8 +1199,8 @@ namespace cv { namespace gpu { namespace device
{
return HSV2RGBConvert<bidx, hr>(src);
}
__device__ __forceinline__ HSV2RGB():unary_function<uint, uint>(){}
__device__ __forceinline__ HSV2RGB(const HSV2RGB& other_):unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ HSV2RGB() {}
__host__ __device__ __forceinline__ HSV2RGB(const HSV2RGB&) {}
};
}
@ -1343,10 +1322,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2HLS()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ RGB2HLS(const RGB2HLS& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ RGB2HLS() {}
__host__ __device__ __forceinline__ RGB2HLS(const RGB2HLS&) {}
};
template <int bidx, int hr> struct RGB2HLS<uchar, 4, 4, bidx, hr> : unary_function<uint, uint>
@ -1355,8 +1332,8 @@ namespace cv { namespace gpu { namespace device
{
return RGB2HLSConvert<bidx, hr>(src);
}
__device__ __forceinline__ RGB2HLS() : unary_function<uint, uint>(){}
__device__ __forceinline__ RGB2HLS(const RGB2HLS& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ RGB2HLS() {}
__host__ __device__ __forceinline__ RGB2HLS(const RGB2HLS&) {}
};
}
@ -1485,10 +1462,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ HLS2RGB()
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__device__ __forceinline__ HLS2RGB(const HLS2RGB& other_)
: unary_function<typename TypeVec<T, scn>::vec_type, typename TypeVec<T, dcn>::vec_type>(){}
__host__ __device__ __forceinline__ HLS2RGB() {}
__host__ __device__ __forceinline__ HLS2RGB(const HLS2RGB&) {}
};
template <int bidx, int hr> struct HLS2RGB<uchar, 4, 4, bidx, hr> : unary_function<uint, uint>
@ -1497,8 +1472,8 @@ namespace cv { namespace gpu { namespace device
{
return HLS2RGBConvert<bidx, hr>(src);
}
__device__ __forceinline__ HLS2RGB() : unary_function<uint, uint>(){}
__device__ __forceinline__ HLS2RGB(const HLS2RGB& other_) : unary_function<uint, uint>(){}
__host__ __device__ __forceinline__ HLS2RGB() {}
__host__ __device__ __forceinline__ HLS2RGB(const HLS2RGB&) {}
};
}
@ -1651,8 +1626,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2Lab() {}
__device__ __forceinline__ RGB2Lab(const RGB2Lab& other_) {}
__host__ __device__ __forceinline__ RGB2Lab() {}
__host__ __device__ __forceinline__ RGB2Lab(const RGB2Lab&) {}
};
template <int scn, int dcn, bool srgb, int blueIdx>
struct RGB2Lab<float, scn, dcn, srgb, blueIdx>
@ -1666,8 +1641,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2Lab() {}
__device__ __forceinline__ RGB2Lab(const RGB2Lab& other_) {}
__host__ __device__ __forceinline__ RGB2Lab() {}
__host__ __device__ __forceinline__ RGB2Lab(const RGB2Lab&) {}
};
}
@ -1764,8 +1739,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ Lab2RGB() {}
__device__ __forceinline__ Lab2RGB(const Lab2RGB& other_) {}
__host__ __device__ __forceinline__ Lab2RGB() {}
__host__ __device__ __forceinline__ Lab2RGB(const Lab2RGB&) {}
};
template <int scn, int dcn, bool srgb, int blueIdx>
struct Lab2RGB<float, scn, dcn, srgb, blueIdx>
@ -1779,8 +1754,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ Lab2RGB() {}
__device__ __forceinline__ Lab2RGB(const Lab2RGB& other_) {}
__host__ __device__ __forceinline__ Lab2RGB() {}
__host__ __device__ __forceinline__ Lab2RGB(const Lab2RGB&) {}
};
}
@ -1863,8 +1838,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2Luv() {}
__device__ __forceinline__ RGB2Luv(const RGB2Luv& other_) {}
__host__ __device__ __forceinline__ RGB2Luv() {}
__host__ __device__ __forceinline__ RGB2Luv(const RGB2Luv&) {}
};
template <int scn, int dcn, bool srgb, int blueIdx>
struct RGB2Luv<float, scn, dcn, srgb, blueIdx>
@ -1878,8 +1853,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ RGB2Luv() {}
__device__ __forceinline__ RGB2Luv(const RGB2Luv& other_) {}
__host__ __device__ __forceinline__ RGB2Luv() {}
__host__ __device__ __forceinline__ RGB2Luv(const RGB2Luv&) {}
};
}
@ -1964,8 +1939,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ Luv2RGB() {}
__device__ __forceinline__ Luv2RGB(const Luv2RGB& other_) {}
__host__ __device__ __forceinline__ Luv2RGB() {}
__host__ __device__ __forceinline__ Luv2RGB(const Luv2RGB&) {}
};
template <int scn, int dcn, bool srgb, int blueIdx>
struct Luv2RGB<float, scn, dcn, srgb, blueIdx>
@ -1979,8 +1954,8 @@ namespace cv { namespace gpu { namespace device
return dst;
}
__device__ __forceinline__ Luv2RGB() {}
__device__ __forceinline__ Luv2RGB(const Luv2RGB& other_) {}
__host__ __device__ __forceinline__ Luv2RGB() {}
__host__ __device__ __forceinline__ Luv2RGB(const Luv2RGB&) {}
};
}

214
modules/gpu/include/opencv2/gpu/device/functional.hpp
View File

@ -63,8 +63,8 @@ namespace cv { namespace gpu { namespace device
{
return a + b;
}
__device__ __forceinline__ plus(const plus& other):binary_function<T,T,T>(){}
__device__ __forceinline__ plus():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ plus() {}
__host__ __device__ __forceinline__ plus(const plus&) {}
};
template <typename T> struct minus : binary_function<T, T, T>
@ -74,8 +74,8 @@ namespace cv { namespace gpu { namespace device
{
return a - b;
}
__device__ __forceinline__ minus(const minus& other):binary_function<T,T,T>(){}
__device__ __forceinline__ minus():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ minus() {}
__host__ __device__ __forceinline__ minus(const minus&) {}
};
template <typename T> struct multiplies : binary_function<T, T, T>
@ -85,8 +85,8 @@ namespace cv { namespace gpu { namespace device
{
return a * b;
}
__device__ __forceinline__ multiplies(const multiplies& other):binary_function<T,T,T>(){}
__device__ __forceinline__ multiplies():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ multiplies() {}
__host__ __device__ __forceinline__ multiplies(const multiplies&) {}
};
template <typename T> struct divides : binary_function<T, T, T>
@ -96,8 +96,8 @@ namespace cv { namespace gpu { namespace device
{
return a / b;
}
__device__ __forceinline__ divides(const divides& other):binary_function<T,T,T>(){}
__device__ __forceinline__ divides():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ divides() {}
__host__ __device__ __forceinline__ divides(const divides&) {}
};
template <typename T> struct modulus : binary_function<T, T, T>
@ -107,8 +107,8 @@ namespace cv { namespace gpu { namespace device
{
return a % b;
}
__device__ __forceinline__ modulus(const modulus& other):binary_function<T,T,T>(){}
__device__ __forceinline__ modulus():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ modulus() {}
__host__ __device__ __forceinline__ modulus(const modulus&) {}
};
template <typename T> struct negate : unary_function<T, T>
@ -117,8 +117,8 @@ namespace cv { namespace gpu { namespace device
{
return -a;
}
__device__ __forceinline__ negate(const negate& other):unary_function<T,T>(){}
__device__ __forceinline__ negate():unary_function<T,T>(){}
__host__ __device__ __forceinline__ negate() {}
__host__ __device__ __forceinline__ negate(const negate&) {}
};
// Comparison Operations
@ -129,8 +129,8 @@ namespace cv { namespace gpu { namespace device
{
return a == b;
}
__device__ __forceinline__ equal_to(const equal_to& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ equal_to():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ equal_to() {}
__host__ __device__ __forceinline__ equal_to(const equal_to&) {}
};
template <typename T> struct not_equal_to : binary_function<T, T, bool>
@ -140,8 +140,8 @@ namespace cv { namespace gpu { namespace device
{
return a != b;
}
__device__ __forceinline__ not_equal_to(const not_equal_to& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ not_equal_to():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ not_equal_to() {}
__host__ __device__ __forceinline__ not_equal_to(const not_equal_to&) {}
};
template <typename T> struct greater : binary_function<T, T, bool>
@ -151,8 +151,8 @@ namespace cv { namespace gpu { namespace device
{
return a > b;
}
__device__ __forceinline__ greater(const greater& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ greater():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ greater() {}
__host__ __device__ __forceinline__ greater(const greater&) {}
};
template <typename T> struct less : binary_function<T, T, bool>
@ -162,8 +162,8 @@ namespace cv { namespace gpu { namespace device
{
return a < b;
}
__device__ __forceinline__ less(const less& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ less():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ less() {}
__host__ __device__ __forceinline__ less(const less&) {}
};
template <typename T> struct greater_equal : binary_function<T, T, bool>
@ -173,8 +173,8 @@ namespace cv { namespace gpu { namespace device
{
return a >= b;
}
__device__ __forceinline__ greater_equal(const greater_equal& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ greater_equal():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ greater_equal() {}
__host__ __device__ __forceinline__ greater_equal(const greater_equal&) {}
};
template <typename T> struct less_equal : binary_function<T, T, bool>
@ -184,8 +184,8 @@ namespace cv { namespace gpu { namespace device
{
return a <= b;
}
__device__ __forceinline__ less_equal(const less_equal& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ less_equal():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ less_equal() {}
__host__ __device__ __forceinline__ less_equal(const less_equal&) {}
};
// Logical Operations
@ -196,8 +196,8 @@ namespace cv { namespace gpu { namespace device
{
return a && b;
}
__device__ __forceinline__ logical_and(const logical_and& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ logical_and():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ logical_and() {}
__host__ __device__ __forceinline__ logical_and(const logical_and&) {}
};
template <typename T> struct logical_or : binary_function<T, T, bool>
@ -207,8 +207,8 @@ namespace cv { namespace gpu { namespace device
{
return a || b;
}
__device__ __forceinline__ logical_or(const logical_or& other):binary_function<T,T,bool>(){}
__device__ __forceinline__ logical_or():binary_function<T,T,bool>(){}
__host__ __device__ __forceinline__ logical_or() {}
__host__ __device__ __forceinline__ logical_or(const logical_or&) {}
};
template <typename T> struct logical_not : unary_function<T, bool>
@ -217,8 +217,8 @@ namespace cv { namespace gpu { namespace device
{
return !a;
}
__device__ __forceinline__ logical_not(const logical_not& other):unary_function<T,bool>(){}
__device__ __forceinline__ logical_not():unary_function<T,bool>(){}
__host__ __device__ __forceinline__ logical_not() {}
__host__ __device__ __forceinline__ logical_not(const logical_not&) {}
};
// Bitwise Operations
@ -229,8 +229,8 @@ namespace cv { namespace gpu { namespace device
{
return a & b;
}
__device__ __forceinline__ bit_and(const bit_and& other):binary_function<T,T,T>(){}
__device__ __forceinline__ bit_and():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ bit_and() {}
__host__ __device__ __forceinline__ bit_and(const bit_and&) {}
};
template <typename T> struct bit_or : binary_function<T, T, T>
@ -240,8 +240,8 @@ namespace cv { namespace gpu { namespace device
{
return a | b;
}
__device__ __forceinline__ bit_or(const bit_or& other):binary_function<T,T,T>(){}
__device__ __forceinline__ bit_or():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ bit_or() {}
__host__ __device__ __forceinline__ bit_or(const bit_or&) {}
};
template <typename T> struct bit_xor : binary_function<T, T, T>
@ -251,8 +251,8 @@ namespace cv { namespace gpu { namespace device
{
return a ^ b;
}
__device__ __forceinline__ bit_xor(const bit_xor& other):binary_function<T,T,T>(){}
__device__ __forceinline__ bit_xor():binary_function<T,T,T>(){}
__host__ __device__ __forceinline__ bit_xor() {}
__host__ __device__ __forceinline__ bit_xor(const bit_xor&) {}
};
template <typename T> struct bit_not : unary_function<T, T>
@ -261,8 +261,8 @@ namespace cv { namespace gpu { namespace device
{
return ~v;
}
__device__ __forceinline__ bit_not(const bit_not& other):unary_function<T,T>(){}
__device__ __forceinline__ bit_not():unary_function<T,T>(){}
__host__ __device__ __forceinline__ bit_not() {}
__host__ __device__ __forceinline__ bit_not(const bit_not&) {}
};
// Generalized Identity Operations
@ -272,8 +272,8 @@ namespace cv { namespace gpu { namespace device
{
return x;
}
__device__ __forceinline__ identity(const identity& other):unary_function<T,T>(){}
__device__ __forceinline__ identity():unary_function<T,T>(){}
__host__ __device__ __forceinline__ identity() {}
__host__ __device__ __forceinline__ identity(const identity&) {}
};
template <typename T1, typename T2> struct project1st : binary_function<T1, T2, T1>
@ -282,8 +282,8 @@ namespace cv { namespace gpu { namespace device
{
return lhs;
}
__device__ __forceinline__ project1st(const project1st& other):binary_function<T1,T2,T1>(){}
__device__ __forceinline__ project1st():binary_function<T1,T2,T1>(){}
__host__ __device__ __forceinline__ project1st() {}
__host__ __device__ __forceinline__ project1st(const project1st&) {}
};
template <typename T1, typename T2> struct project2nd : binary_function<T1, T2, T2>
@ -292,8 +292,8 @@ namespace cv { namespace gpu { namespace device
{
return rhs;
}
__device__ __forceinline__ project2nd(const project2nd& other):binary_function<T1,T2,T2>(){}
__device__ __forceinline__ project2nd():binary_function<T1,T2,T2>(){}
__host__ __device__ __forceinline__ project2nd() {}
__host__ __device__ __forceinline__ project2nd(const project2nd&) {}
};
// Min/Max Operations
@ -302,8 +302,8 @@ namespace cv { namespace gpu { namespace device
template <> struct name<type> : binary_function<type, type, type> \
{ \
__device__ __forceinline__ type operator()(type lhs, type rhs) const {return op(lhs, rhs);} \
__device__ __forceinline__ name() {}\
__device__ __forceinline__ name(const name&) {}\
__host__ __device__ __forceinline__ name() {}\
__host__ __device__ __forceinline__ name(const name&) {}\
};
template <typename T> struct maximum : binary_function<T, T, T>
@ -312,8 +312,8 @@ namespace cv { namespace gpu { namespace device
{
return max(lhs, rhs);
}
__device__ __forceinline__ maximum() {}
__device__ __forceinline__ maximum(const maximum&) {}
__host__ __device__ __forceinline__ maximum() {}
__host__ __device__ __forceinline__ maximum(const maximum&) {}
};
OPENCV_GPU_IMPLEMENT_MINMAX(maximum, uchar, ::max)
@ -332,8 +332,8 @@ namespace cv { namespace gpu { namespace device
{
return min(lhs, rhs);
}
__device__ __forceinline__ minimum() {}
__device__ __forceinline__ minimum(const minimum&) {}
__host__ __device__ __forceinline__ minimum() {}
__host__ __device__ __forceinline__ minimum(const minimum&) {}
};
OPENCV_GPU_IMPLEMENT_MINMAX(minimum, uchar, ::min)
@ -349,7 +349,6 @@ namespace cv { namespace gpu { namespace device
#undef OPENCV_GPU_IMPLEMENT_MINMAX
// Math functions
///bound=========================================
template <typename T> struct abs_func : unary_function<T, T>
{
@ -358,8 +357,8 @@ namespace cv { namespace gpu { namespace device
return abs(x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<unsigned char> : unary_function<unsigned char, unsigned char>
{
@ -368,8 +367,8 @@ namespace cv { namespace gpu { namespace device
return x;
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<signed char> : unary_function<signed char, signed char>
{
@ -378,8 +377,8 @@ namespace cv { namespace gpu { namespace device
return ::abs((int)x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<char> : unary_function<char, char>
{
@ -388,8 +387,8 @@ namespace cv { namespace gpu { namespace device
return ::abs((int)x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<unsigned short> : unary_function<unsigned short, unsigned short>
{
@ -398,8 +397,8 @@ namespace cv { namespace gpu { namespace device
return x;
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<short> : unary_function<short, short>
{
@ -408,8 +407,8 @@ namespace cv { namespace gpu { namespace device
return ::abs((int)x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<unsigned int> : unary_function<unsigned int, unsigned int>
{
@ -418,8 +417,8 @@ namespace cv { namespace gpu { namespace device
return x;
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<int> : unary_function<int, int>
{
@ -428,8 +427,8 @@ namespace cv { namespace gpu { namespace device
return ::abs(x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<float> : unary_function<float, float>
{
@ -438,8 +437,8 @@ namespace cv { namespace gpu { namespace device
return ::fabsf(x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
template <> struct abs_func<double> : unary_function<double, double>
{
@ -448,8 +447,8 @@ namespace cv { namespace gpu { namespace device
return ::fabs(x);
}
__device__ __forceinline__ abs_func() {}
__device__ __forceinline__ abs_func(const abs_func&) {}
__host__ __device__ __forceinline__ abs_func() {}
__host__ __device__ __forceinline__ abs_func(const abs_func&) {}
};
#define OPENCV_GPU_IMPLEMENT_UN_FUNCTOR(name, func) \
@ -459,8 +458,8 @@ namespace cv { namespace gpu { namespace device
{ \
return func ## f(v); \
} \
__device__ __forceinline__ name ## _func() {} \
__device__ __forceinline__ name ## _func(const name ## _func&) {} \
__host__ __device__ __forceinline__ name ## _func() {} \
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
}; \
template <> struct name ## _func<double> : unary_function<double, double> \
{ \
@ -468,8 +467,8 @@ namespace cv { namespace gpu { namespace device
{ \
return func(v); \
} \
__device__ __forceinline__ name ## _func() {} \
__device__ __forceinline__ name ## _func(const name ## _func&) {} \
__host__ __device__ __forceinline__ name ## _func() {} \
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
};
#define OPENCV_GPU_IMPLEMENT_BIN_FUNCTOR(name, func) \
@ -479,6 +478,8 @@ namespace cv { namespace gpu { namespace device
{ \
return func ## f(v1, v2); \
} \
__host__ __device__ __forceinline__ name ## _func() {} \
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
}; \
template <> struct name ## _func<double> : binary_function<double, double, double> \
{ \
@ -486,6 +487,8 @@ namespace cv { namespace gpu { namespace device
{ \
return func(v1, v2); \
} \
__host__ __device__ __forceinline__ name ## _func() {} \
__host__ __device__ __forceinline__ name ## _func(const name ## _func&) {} \
};
OPENCV_GPU_IMPLEMENT_UN_FUNCTOR(sqrt, ::sqrt)
@ -522,8 +525,8 @@ namespace cv { namespace gpu { namespace device
{
return src1 * src1 + src2 * src2;
}
__device__ __forceinline__ hypot_sqr_func(const hypot_sqr_func& other) : binary_function<T, T, float>(){}
__device__ __forceinline__ hypot_sqr_func() : binary_function<T, T, float>(){}
__host__ __device__ __forceinline__ hypot_sqr_func() {}
__host__ __device__ __forceinline__ hypot_sqr_func(const hypot_sqr_func&) {}
};
// Saturate Cast Functor
@ -533,8 +536,8 @@ namespace cv { namespace gpu { namespace device
{
return saturate_cast<D>(v);
}
__device__ __forceinline__ saturate_cast_func(const saturate_cast_func& other):unary_function<T, D>(){}
__device__ __forceinline__ saturate_cast_func():unary_function<T, D>(){}
__host__ __device__ __forceinline__ saturate_cast_func() {}
__host__ __device__ __forceinline__ saturate_cast_func(const saturate_cast_func&) {}
};
// Threshold Functors
@ -547,10 +550,9 @@ namespace cv { namespace gpu { namespace device
return (src > thresh) * maxVal;
}
__device__ __forceinline__ thresh_binary_func(const thresh_binary_func& other)
: unary_function<T, T>(), thresh(other.thresh), maxVal(other.maxVal){}
__device__ __forceinline__ thresh_binary_func():unary_function<T, T>(){}
__host__ __device__ __forceinline__ thresh_binary_func() {}
__host__ __device__ __forceinline__ thresh_binary_func(const thresh_binary_func& other)
: thresh(other.thresh), maxVal(other.maxVal) {}
const T thresh;
const T maxVal;
@ -565,10 +567,9 @@ namespace cv { namespace gpu { namespace device
return (src <= thresh) * maxVal;
}
__device__ __forceinline__ thresh_binary_inv_func(const thresh_binary_inv_func& other)
: unary_function<T, T>(), thresh(other.thresh), maxVal(other.maxVal){}
__device__ __forceinline__ thresh_binary_inv_func():unary_function<T, T>(){}
__host__ __device__ __forceinline__ thresh_binary_inv_func() {}
__host__ __device__ __forceinline__ thresh_binary_inv_func(const thresh_binary_inv_func& other)
: thresh(other.thresh), maxVal(other.maxVal) {}
const T thresh;
const T maxVal;
@ -583,10 +584,9 @@ namespace cv { namespace gpu { namespace device
return minimum<T>()(src, thresh);
}
__device__ __forceinline__ thresh_trunc_func(const thresh_trunc_func& other)
: unary_function<T, T>(), thresh(other.thresh){}
__device__ __forceinline__ thresh_trunc_func():unary_function<T, T>(){}
__host__ __device__ __forceinline__ thresh_trunc_func() {}
__host__ __device__ __forceinline__ thresh_trunc_func(const thresh_trunc_func& other)
: thresh(other.thresh) {}
const T thresh;
};
@ -599,10 +599,10 @@ namespace cv { namespace gpu { namespace device
{
return (src > thresh) * src;
}
__device__ __forceinline__ thresh_to_zero_func(const thresh_to_zero_func& other)
: unary_function<T, T>(), thresh(other.thresh){}
__device__ __forceinline__ thresh_to_zero_func():unary_function<T, T>(){}
__host__ __device__ __forceinline__ thresh_to_zero_func() {}
__host__ __device__ __forceinline__ thresh_to_zero_func(const thresh_to_zero_func& other)
: thresh(other.thresh) {}
const T thresh;
};
@ -615,14 +615,14 @@ namespace cv { namespace gpu { namespace device
{
return (src <= thresh) * src;
}
__device__ __forceinline__ thresh_to_zero_inv_func(const thresh_to_zero_inv_func& other)
: unary_function<T, T>(), thresh(other.thresh){}
__device__ __forceinline__ thresh_to_zero_inv_func():unary_function<T, T>(){}
__host__ __device__ __forceinline__ thresh_to_zero_inv_func() {}
__host__ __device__ __forceinline__ thresh_to_zero_inv_func(const thresh_to_zero_inv_func& other)
: thresh(other.thresh) {}
const T thresh;
};
//bound!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! ============>
// Function Object Adaptors
template <typename Predicate> struct unary_negate : unary_function<typename Predicate::argument_type, bool>
{
@ -633,8 +633,8 @@ namespace cv { namespace gpu { namespace device
return !pred(x);
}
__device__ __forceinline__ unary_negate(const unary_negate& other) : unary_function<typename Predicate::argument_type, bool>(){}
__device__ __forceinline__ unary_negate() : unary_function<typename Predicate::argument_type, bool>(){}
__host__ __device__ __forceinline__ unary_negate() {}
__host__ __device__ __forceinline__ unary_negate(const unary_negate& other) : pred(other.pred) {}
const Predicate pred;
};
@ -653,11 +653,9 @@ namespace cv { namespace gpu { namespace device
{
return !pred(x,y);
}
__device__ __forceinline__ binary_negate(const binary_negate& other)
: binary_function<typename Predicate::first_argument_type, typename Predicate::second_argument_type, bool>(){}
__device__ __forceinline__ binary_negate() :
binary_function<typename Predicate::first_argument_type, typename Predicate::second_argument_type, bool>(){}
__host__ __device__ __forceinline__ binary_negate() {}
__host__ __device__ __forceinline__ binary_negate(const binary_negate& other) : pred(other.pred) {}
const Predicate pred;
};
@ -676,8 +674,8 @@ namespace cv { namespace gpu { namespace device
return op(arg1, a);
}
__device__ __forceinline__ binder1st(const binder1st& other) :
unary_function<typename Op::second_argument_type, typename Op::result_type>(){}
__host__ __device__ __forceinline__ binder1st() {}
__host__ __device__ __forceinline__ binder1st(const binder1st& other) : op(other.op), arg1(other.arg1) {}
const Op op;
const typename Op::first_argument_type arg1;
@ -697,8 +695,8 @@ namespace cv { namespace gpu { namespace device
return op(a, arg2);
}
__device__ __forceinline__ binder2nd(const binder2nd& other) :
unary_function<typename Op::first_argument_type, typename Op::result_type>(), op(other.op), arg2(other.arg2){}
__host__ __device__ __forceinline__ binder2nd() {}
__host__ __device__ __forceinline__ binder2nd(const binder2nd& other) : op(other.op), arg2(other.arg2) {}
const Op op;
const typename Op::second_argument_type arg2;

231
modules/gpu/include/opencv2/gpu/device/limits.hpp
View File

@ -43,193 +43,80 @@
#ifndef __OPENCV_GPU_LIMITS_GPU_HPP__
#define __OPENCV_GPU_LIMITS_GPU_HPP__
#include <limits>
#include <limits.h>
#include <float.h>
#include "common.hpp"
namespace cv { namespace gpu { namespace device
{
template<class T> struct numeric_limits
{
typedef T type;
__device__ __forceinline__ static type min() { return type(); };
__device__ __forceinline__ static type max() { return type(); };
__device__ __forceinline__ static type epsilon() { return type(); }
__device__ __forceinline__ static type round_error() { return type(); }
__device__ __forceinline__ static type denorm_min() { return type(); }
__device__ __forceinline__ static type infinity() { return type(); }
__device__ __forceinline__ static type quiet_NaN() { return type(); }
__device__ __forceinline__ static type signaling_NaN() { return T(); }
static const bool is_signed;
};
template<> struct numeric_limits<bool>
{
typedef bool type;
__device__ __forceinline__ static type min() { return false; };
__device__ __forceinline__ static type max() { return true; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = false;
};
template <class T> struct numeric_limits;
template<> struct numeric_limits<char>
{
typedef char type;
__device__ __forceinline__ static type min() { return CHAR_MIN; };
__device__ __forceinline__ static type max() { return CHAR_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = (char)-1 == -1;
};
template <> struct numeric_limits<bool>
{
__device__ __forceinline__ static bool min() { return false; }
__device__ __forceinline__ static bool max() { return true; }
static const bool is_signed = false;
};
template<> struct numeric_limits<signed char>
{
typedef char type;
__device__ __forceinline__ static type min() { return SCHAR_MIN; };
__device__ __forceinline__ static type max() { return SCHAR_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = (signed char)-1 == -1;
};
template <> struct numeric_limits<signed char>
{
__device__ __forceinline__ static signed char min() { return SCHAR_MIN; }
__device__ __forceinline__ static signed char max() { return SCHAR_MAX; }
static const bool is_signed = true;
};
template<> struct numeric_limits<unsigned char>
{
typedef unsigned char type;
__device__ __forceinline__ static type min() { return 0; };
__device__ __forceinline__ static type max() { return UCHAR_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = false;
};
template <> struct numeric_limits<unsigned char>
{
__device__ __forceinline__ static unsigned char min() { return 0; }
__device__ __forceinline__ static unsigned char max() { return UCHAR_MAX; }
static const bool is_signed = false;
};
template<> struct numeric_limits<short>
{
typedef short type;
__device__ __forceinline__ static type min() { return SHRT_MIN; };
__device__ __forceinline__ static type max() { return SHRT_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = true;
};
template <> struct numeric_limits<short>
{
__device__ __forceinline__ static short min() { return SHRT_MIN; }
__device__ __forceinline__ static short max() { return SHRT_MAX; }
static const bool is_signed = true;
};
template<> struct numeric_limits<unsigned short>
{
typedef unsigned short type;
__device__ __forceinline__ static type min() { return 0; };
__device__ __forceinline__ static type max() { return USHRT_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = false;
};
template <> struct numeric_limits<unsigned short>
{
__device__ __forceinline__ static unsigned short min() { return 0; }
__device__ __forceinline__ static unsigned short max() { return USHRT_MAX; }
static const bool is_signed = false;
};
template<> struct numeric_limits<int>
{
typedef int type;
__device__ __forceinline__ static type min() { return INT_MIN; };
__device__ __forceinline__ static type max() { return INT_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = true;
};
template <> struct numeric_limits<int>
{
__device__ __forceinline__ static int min() { return INT_MIN; }
__device__ __forceinline__ static int max() { return INT_MAX; }
static const bool is_signed = true;
};
template <> struct numeric_limits<unsigned int>
{
__device__ __forceinline__ static unsigned int min() { return 0; }
__device__ __forceinline__ static unsigned int max() { return UINT_MAX; }
static const bool is_signed = false;
};
template<> struct numeric_limits<unsigned int>
{
typedef unsigned int type;
__device__ __forceinline__ static type min() { return 0; };
__device__ __forceinline__ static type max() { return UINT_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = false;
};
template <> struct numeric_limits<float>
{
__device__ __forceinline__ static float min() { return FLT_MIN; }
__device__ __forceinline__ static float max() { return FLT_MAX; }
__device__ __forceinline__ static float epsilon() { return FLT_EPSILON; }
static const bool is_signed = true;
};
template<> struct numeric_limits<long>
{
typedef long type;
__device__ __forceinline__ static type min() { return LONG_MIN; };
__device__ __forceinline__ static type max() { return LONG_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = true;
};
template <> struct numeric_limits<double>
{
__device__ __forceinline__ static double min() { return DBL_MIN; }
__device__ __forceinline__ static double max() { return DBL_MAX; }
__device__ __forceinline__ static double epsilon() { return DBL_EPSILON; }
static const bool is_signed = true;
};
template<> struct numeric_limits<unsigned long>
{
typedef unsigned long type;
__device__ __forceinline__ static type min() { return 0; };
__device__ __forceinline__ static type max() { return ULONG_MAX; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = false;
};
template<> struct numeric_limits<float>
{
typedef float type;
__device__ __forceinline__ static type min() { return 1.175494351e-38f/*FLT_MIN*/; };
__device__ __forceinline__ static type max() { return 3.402823466e+38f/*FLT_MAX*/; };
__device__ __forceinline__ static type epsilon() { return 1.192092896e-07f/*FLT_EPSILON*/; };
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = true;
};
template<> struct numeric_limits<double>
{
typedef double type;
__device__ __forceinline__ static type min() { return 2.2250738585072014e-308/*DBL_MIN*/; };
__device__ __forceinline__ static type max() { return 1.7976931348623158e+308/*DBL_MAX*/; };
__device__ __forceinline__ static type epsilon();
__device__ __forceinline__ static type round_error();
__device__ __forceinline__ static type denorm_min();
__device__ __forceinline__ static type infinity();
__device__ __forceinline__ static type quiet_NaN();
__device__ __forceinline__ static type signaling_NaN();
static const bool is_signed = true;
};
}}} // namespace cv { namespace gpu { namespace device {
#endif // __OPENCV_GPU_LIMITS_GPU_HPP__

4
modules/gpu/include/opencv2/gpu/device/utility.hpp
View File

@ -124,8 +124,8 @@ namespace cv { namespace gpu { namespace device
struct WithOutMask
{
__device__ __forceinline__ WithOutMask(){}
__device__ __forceinline__ WithOutMask(const WithOutMask& mask){}
__host__ __device__ __forceinline__ WithOutMask(){}
__host__ __device__ __forceinline__ WithOutMask(const WithOutMask&){}
__device__ __forceinline__ void next() const
{

1106
modules/gpu/include/opencv2/gpu/device/vec_math.hpp
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File diff suppressed because it is too large Load Diff

2
modules/gpu/perf/perf_filters.cpp
View File

@ -72,7 +72,7 @@ PERF_TEST_P(Sz_Type_KernelSz, Filters_Blur,
TEST_CYCLE() cv::gpu::blur(d_src, dst, cv::Size(ksize, ksize));
GPU_SANITY_CHECK(dst);
GPU_SANITY_CHECK(dst, 1);
}
else
{

9
modules/gpu/perf/perf_main.cpp
View File

@ -44,4 +44,11 @@
using namespace perf;
CV_PERF_TEST_MAIN(gpu, printCudaInfo())
static const char * impls[] = {
#ifdef HAVE_CUDA
"cuda",
#endif
"plain"
};
CV_PERF_TEST_MAIN_WITH_IMPLS(gpu, impls, printCudaInfo())

8
modules/gpu/perf/perf_video.cpp
View File

@ -103,7 +103,7 @@ PERF_TEST_P(ImagePair, Video_InterpolateFrames,
TEST_CYCLE() cv::gpu::interpolateFrames(d_frame0, d_frame1, d_fu, d_fv, d_bu, d_bv, 0.5f, newFrame, d_buf);
GPU_SANITY_CHECK(newFrame);
GPU_SANITY_CHECK(newFrame, 1e-4);
}
else
{
@ -142,7 +142,7 @@ PERF_TEST_P(ImagePair, Video_CreateOpticalFlowNeedleMap,
TEST_CYCLE() cv::gpu::createOpticalFlowNeedleMap(u, v, vertex, colors);
GPU_SANITY_CHECK(vertex);
GPU_SANITY_CHECK(vertex, 1e-6);
GPU_SANITY_CHECK(colors);
}
else
@ -219,8 +219,8 @@ PERF_TEST_P(ImagePair, Video_BroxOpticalFlow,
TEST_CYCLE() d_flow(d_frame0, d_frame1, u, v);
GPU_SANITY_CHECK(u);
GPU_SANITY_CHECK(v);
GPU_SANITY_CHECK(u, 1e-1);
GPU_SANITY_CHECK(v, 1e-1);
}
else
{

8
modules/gpu/src/calib3d.cpp
View File

@ -151,7 +151,7 @@ namespace
}
// Computes rotation, translation pair for small subsets if the input data
class TransformHypothesesGenerator
class TransformHypothesesGenerator : public ParallelLoopBody
{
public:
TransformHypothesesGenerator(const Mat& object_, const Mat& image_, const Mat& dist_coef_,
@ -161,7 +161,7 @@ namespace
num_points(num_points_), subset_size(subset_size_), rot_matrices(rot_matrices_),
transl_vectors(transl_vectors_) {}
void operator()(const BlockedRange& range) const
void operator()(const Range& range) const
{
// Input data for generation of the current hypothesis
vector<int> subset_indices(subset_size);
@ -173,7 +173,7 @@ namespace
Mat rot_mat(3, 3, CV_64F);
Mat transl_vec(1, 3, CV_64F);
for (int iter = range.begin(); iter < range.end(); ++iter)
for (int iter = range.start; iter < range.end; ++iter)
{
selectRandom(subset_size, num_points, subset_indices);
for (int i = 0; i < subset_size; ++i)
@ -239,7 +239,7 @@ void cv::gpu::solvePnPRansac(const Mat& object, const Mat& image, const Mat& cam
// Generate set of hypotheses using small subsets of the input data
TransformHypothesesGenerator body(object, image_normalized, empty_dist_coef, eye_camera_mat,
num_points, subset_size, rot_matrices, transl_vectors);
parallel_for(BlockedRange(0, num_iters), body);
parallel_for_(Range(0, num_iters), body);
// Compute scores (i.e. number of inliers) for each hypothesis
GpuMat d_object(object);

2
modules/gpu/src/cascadeclassifier.cpp
View File

@ -406,7 +406,7 @@ public:
GpuMat dclassified(1, 1, CV_32S);
cudaSafeCall( cudaMemcpy(dclassified.ptr(), &classified, sizeof(int), cudaMemcpyHostToDevice) );
PyrLavel level(0, 1.0f, image.size(), NxM, minObjectSize);
PyrLavel level(0, scaleFactor, image.size(), NxM, minObjectSize);
while (level.isFeasible(maxObjectSize))
{

8
modules/gpu/src/cuda/calib3d.cu
View File

@ -67,8 +67,8 @@ namespace cv { namespace gpu { namespace device
crot1.x * p.x + crot1.y * p.y + crot1.z * p.z + ctransl.y,
crot2.x * p.x + crot2.y * p.y + crot2.z * p.z + ctransl.z);
}
__device__ __forceinline__ TransformOp() {}
__device__ __forceinline__ TransformOp(const TransformOp&) {}
__host__ __device__ __forceinline__ TransformOp() {}
__host__ __device__ __forceinline__ TransformOp(const TransformOp&) {}
};
void call(const PtrStepSz<float3> src, const float* rot,
@ -106,8 +106,8 @@ namespace cv { namespace gpu { namespace device
(cproj0.x * t.x + cproj0.y * t.y) / t.z + cproj0.z,
(cproj1.x * t.x + cproj1.y * t.y) / t.z + cproj1.z);
}
__device__ __forceinline__ ProjectOp() {}
__device__ __forceinline__ ProjectOp(const ProjectOp&) {}
__host__ __device__ __forceinline__ ProjectOp() {}
__host__ __device__ __forceinline__ ProjectOp(const ProjectOp&) {}
};
void call(const PtrStepSz<float3> src, const float* rot,

12
modules/gpu/src/cuda/canny.cu
View File

@ -62,8 +62,8 @@ namespace canny
return ::abs(x) + ::abs(y);
}
__device__ __forceinline__ L1() {}
__device__ __forceinline__ L1(const L1&) {}
__host__ __device__ __forceinline__ L1() {}
__host__ __device__ __forceinline__ L1(const L1&) {}
};
struct L2 : binary_function<int, int, float>
{
@ -72,8 +72,8 @@ namespace canny
return ::sqrtf(x * x + y * y);
}
__device__ __forceinline__ L2() {}
__device__ __forceinline__ L2(const L2&) {}
__host__ __device__ __forceinline__ L2() {}
__host__ __device__ __forceinline__ L2(const L2&) {}
};
}
@ -470,8 +470,8 @@ namespace canny
return (uchar)(-(e >> 1));
}
__device__ __forceinline__ GetEdges() {}
__device__ __forceinline__ GetEdges(const GetEdges&) {}
__host__ __device__ __forceinline__ GetEdges() {}
__host__ __device__ __forceinline__ GetEdges(const GetEdges&) {}
};
}

4
modules/gpu/src/cuda/ccomponetns.cu
View File

@ -153,7 +153,7 @@ namespace cv { namespace gpu { namespace device
template<typename I> __device__ __forceinline__ bool operator() (const I& a, const I& b) const
{
I d = a - b;
I d = saturate_cast<I>(a - b);
return lo.x <= d.x && d.x <= hi.x &&
lo.y <= d.y && d.y <= hi.y &&
lo.z <= d.z && d.z <= hi.z;
@ -169,7 +169,7 @@ namespace cv { namespace gpu { namespace device
template<typename I> __device__ __forceinline__ bool operator() (const I& a, const I& b) const
{
I d = a - b;
I d = saturate_cast<I>(a - b);
return lo.x <= d.x && d.x <= hi.x &&
lo.y <= d.y && d.y <= hi.y &&
lo.z <= d.z && d.z <= hi.z &&

100
modules/gpu/src/cuda/element_operations.cu
View File

@ -162,8 +162,8 @@ namespace arithm
return vadd4(a, b);
}
__device__ __forceinline__ VAdd4() {}
__device__ __forceinline__ VAdd4(const VAdd4& other) {}
__host__ __device__ __forceinline__ VAdd4() {}
__host__ __device__ __forceinline__ VAdd4(const VAdd4&) {}
};
////////////////////////////////////
@ -175,8 +175,8 @@ namespace arithm
return vadd2(a, b);
}
__device__ __forceinline__ VAdd2() {}
__device__ __forceinline__ VAdd2(const VAdd2& other) {}
__host__ __device__ __forceinline__ VAdd2() {}
__host__ __device__ __forceinline__ VAdd2(const VAdd2&) {}
};
////////////////////////////////////
@ -188,8 +188,8 @@ namespace arithm
return saturate_cast<D>(a + b);
}
__device__ __forceinline__ AddMat() {}
__device__ __forceinline__ AddMat(const AddMat& other) {}
__host__ __device__ __forceinline__ AddMat() {}
__host__ __device__ __forceinline__ AddMat(const AddMat&) {}
};
}
@ -397,8 +397,8 @@ namespace arithm
return vsub4(a, b);
}
__device__ __forceinline__ VSub4() {}
__device__ __forceinline__ VSub4(const VSub4& other) {}
__host__ __device__ __forceinline__ VSub4() {}
__host__ __device__ __forceinline__ VSub4(const VSub4&) {}
};
////////////////////////////////////
@ -410,8 +410,8 @@ namespace arithm
return vsub2(a, b);
}
__device__ __forceinline__ VSub2() {}
__device__ __forceinline__ VSub2(const VSub2& other) {}
__host__ __device__ __forceinline__ VSub2() {}
__host__ __device__ __forceinline__ VSub2(const VSub2&) {}
};
////////////////////////////////////
@ -423,8 +423,8 @@ namespace arithm
return saturate_cast<D>(a - b);
}
__device__ __forceinline__ SubMat() {}
__device__ __forceinline__ SubMat(const SubMat& other) {}
__host__ __device__ __forceinline__ SubMat() {}
__host__ __device__ __forceinline__ SubMat(const SubMat&) {}
};
}
@ -617,8 +617,8 @@ namespace arithm
return res;
}
__device__ __forceinline__ Mul_8uc4_32f() {}
__device__ __forceinline__ Mul_8uc4_32f(const Mul_8uc4_32f& other) {}
__host__ __device__ __forceinline__ Mul_8uc4_32f() {}
__host__ __device__ __forceinline__ Mul_8uc4_32f(const Mul_8uc4_32f&) {}
};
struct Mul_16sc4_32f : binary_function<short4, float, short4>
@ -629,8 +629,8 @@ namespace arithm
saturate_cast<short>(a.z * b), saturate_cast<short>(a.w * b));
}
__device__ __forceinline__ Mul_16sc4_32f() {}
__device__ __forceinline__ Mul_16sc4_32f(const Mul_16sc4_32f& other) {}
__host__ __device__ __forceinline__ Mul_16sc4_32f() {}
__host__ __device__ __forceinline__ Mul_16sc4_32f(const Mul_16sc4_32f&) {}
};
template <typename T, typename D> struct Mul : binary_function<T, T, D>
@ -640,8 +640,8 @@ namespace arithm
return saturate_cast<D>(a * b);
}
__device__ __forceinline__ Mul() {}
__device__ __forceinline__ Mul(const Mul& other) {}
__host__ __device__ __forceinline__ Mul() {}
__host__ __device__ __forceinline__ Mul(const Mul&) {}
};
template <typename T, typename S, typename D> struct MulScale : binary_function<T, T, D>
@ -888,8 +888,8 @@ namespace arithm
return b != 0 ? saturate_cast<D>(a / b) : 0;
}
__device__ __forceinline__ Div() {}
__device__ __forceinline__ Div(const Div& other) {}
__host__ __device__ __forceinline__ Div() {}
__host__ __device__ __forceinline__ Div(const Div&) {}
};
template <typename T> struct Div<T, float> : binary_function<T, T, float>
{
@ -898,8 +898,8 @@ namespace arithm
return b != 0 ? static_cast<float>(a) / b : 0;
}
__device__ __forceinline__ Div() {}
__device__ __forceinline__ Div(const Div& other) {}
__host__ __device__ __forceinline__ Div() {}
__host__ __device__ __forceinline__ Div(const Div&) {}
};
template <typename T> struct Div<T, double> : binary_function<T, T, double>
{
@ -908,8 +908,8 @@ namespace arithm
return b != 0 ? static_cast<double>(a) / b : 0;
}
__device__ __forceinline__ Div() {}
__device__ __forceinline__ Div(const Div& other) {}
__host__ __device__ __forceinline__ Div() {}
__host__ __device__ __forceinline__ Div(const Div&) {}
};
template <typename T, typename S, typename D> struct DivScale : binary_function<T, T, D>
@ -1196,8 +1196,8 @@ namespace arithm
return vabsdiff4(a, b);
}
__device__ __forceinline__ VAbsDiff4() {}
__device__ __forceinline__ VAbsDiff4(const VAbsDiff4& other) {}
__host__ __device__ __forceinline__ VAbsDiff4() {}
__host__ __device__ __forceinline__ VAbsDiff4(const VAbsDiff4&) {}
};
////////////////////////////////////
@ -1209,8 +1209,8 @@ namespace arithm
return vabsdiff2(a, b);
}
__device__ __forceinline__ VAbsDiff2() {}
__device__ __forceinline__ VAbsDiff2(const VAbsDiff2& other) {}
__host__ __device__ __forceinline__ VAbsDiff2() {}
__host__ __device__ __forceinline__ VAbsDiff2(const VAbsDiff2&) {}
};
////////////////////////////////////
@ -1235,8 +1235,8 @@ namespace arithm
return saturate_cast<T>(_abs(a - b));
}
__device__ __forceinline__ AbsDiffMat() {}
__device__ __forceinline__ AbsDiffMat(const AbsDiffMat& other) {}
__host__ __device__ __forceinline__ AbsDiffMat() {}
__host__ __device__ __forceinline__ AbsDiffMat(const AbsDiffMat&) {}
};
}
@ -1370,8 +1370,8 @@ namespace arithm
return saturate_cast<T>(x * x);
}
__device__ __forceinline__ Sqr() {}
__device__ __forceinline__ Sqr(const Sqr& other) {}
__host__ __device__ __forceinline__ Sqr() {}
__host__ __device__ __forceinline__ Sqr(const Sqr&) {}
};
}
@ -1466,8 +1466,8 @@ namespace arithm
return saturate_cast<T>(f(x));
}
__device__ __forceinline__ Exp() {}
__device__ __forceinline__ Exp(const Exp& other) {}
__host__ __device__ __forceinline__ Exp() {}
__host__ __device__ __forceinline__ Exp(const Exp&) {}
};
}
@ -1507,8 +1507,8 @@ namespace arithm
return vcmpeq4(a, b);
}
__device__ __forceinline__ VCmpEq4() {}
__device__ __forceinline__ VCmpEq4(const VCmpEq4& other) {}
__host__ __device__ __forceinline__ VCmpEq4() {}
__host__ __device__ __forceinline__ VCmpEq4(const VCmpEq4&) {}
};
struct VCmpNe4 : binary_function<uint, uint, uint>
{
@ -1517,8 +1517,8 @@ namespace arithm
return vcmpne4(a, b);
}
__device__ __forceinline__ VCmpNe4() {}
__device__ __forceinline__ VCmpNe4(const VCmpNe4& other) {}
__host__ __device__ __forceinline__ VCmpNe4() {}
__host__ __device__ __forceinline__ VCmpNe4(const VCmpNe4&) {}
};
struct VCmpLt4 : binary_function<uint, uint, uint>
{
@ -1527,8 +1527,8 @@ namespace arithm
return vcmplt4(a, b);
}
__device__ __forceinline__ VCmpLt4() {}
__device__ __forceinline__ VCmpLt4(const VCmpLt4& other) {}
__host__ __device__ __forceinline__ VCmpLt4() {}
__host__ __device__ __forceinline__ VCmpLt4(const VCmpLt4&) {}
};
struct VCmpLe4 : binary_function<uint, uint, uint>
{
@ -1537,8 +1537,8 @@ namespace arithm
return vcmple4(a, b);
}
__device__ __forceinline__ VCmpLe4() {}
__device__ __forceinline__ VCmpLe4(const VCmpLe4& other) {}
__host__ __device__ __forceinline__ VCmpLe4() {}
__host__ __device__ __forceinline__ VCmpLe4(const VCmpLe4&) {}
};
////////////////////////////////////
@ -2008,8 +2008,8 @@ namespace arithm
return vmin4(a, b);
}
__device__ __forceinline__ VMin4() {}
__device__ __forceinline__ VMin4(const VMin4& other) {}
__host__ __device__ __forceinline__ VMin4() {}
__host__ __device__ __forceinline__ VMin4(const VMin4&) {}
};
////////////////////////////////////
@ -2021,8 +2021,8 @@ namespace arithm
return vmin2(a, b);
}
__device__ __forceinline__ VMin2() {}
__device__ __forceinline__ VMin2(const VMin2& other) {}
__host__ __device__ __forceinline__ VMin2() {}
__host__ __device__ __forceinline__ VMin2(const VMin2&) {}
};
}
@ -2100,8 +2100,8 @@ namespace arithm
return vmax4(a, b);
}
__device__ __forceinline__ VMax4() {}
__device__ __forceinline__ VMax4(const VMax4& other) {}
__host__ __device__ __forceinline__ VMax4() {}
__host__ __device__ __forceinline__ VMax4(const VMax4&) {}
};
////////////////////////////////////
@ -2113,8 +2113,8 @@ namespace arithm
return vmax2(a, b);
}
__device__ __forceinline__ VMax2() {}
__device__ __forceinline__ VMax2(const VMax2& other) {}
__host__ __device__ __forceinline__ VMax2() {}
__host__ __device__ __forceinline__ VMax2(const VMax2&) {}
};
}

5
modules/gpu/src/cuda/hough.cu
View File

@ -48,6 +48,7 @@
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/dynamic_smem.hpp"
@ -811,7 +812,7 @@ namespace cv { namespace gpu { namespace device
const int ind = ::atomicAdd(r_sizes + n, 1);
if (ind < maxSize)
r_table(n, ind) = p - templCenter;
r_table(n, ind) = saturate_cast<short2>(p - templCenter);
}
void buildRTable_gpu(const unsigned int* coordList, const float* thetaList, int pointsCount,
@ -855,7 +856,7 @@ namespace cv { namespace gpu { namespace device
for (int j = 0; j < r_row_size; ++j)
{
short2 c = p - r_row[j];
int2 c = p - r_row[j];
c.x = __float2int_rn(c.x * idp);
c.y = __float2int_rn(c.y * idp);

74
modules/gpu/src/error.cpp
View File

@ -81,48 +81,90 @@ namespace
const ErrorEntry npp_errors [] =
{
error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
#if defined (_MSC_VER)
error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ),
#endif
#if NPP_VERSION < 5500
error_entry( NPP_BAD_ARG_ERROR ),
error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_TEXTURE_BIND_ERROR ),
error_entry( NPP_COEFF_ERROR ),
error_entry( NPP_RECT_ERROR ),
error_entry( NPP_QUAD_ERROR ),
error_entry( NPP_MEMFREE_ERR ),
error_entry( NPP_MEMSET_ERR ),
error_entry( NPP_MEM_ALLOC_ERR ),
error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_MIRROR_FLIP_ERR ),
error_entry( NPP_INVALID_INPUT ),
error_entry( NPP_POINTER_ERROR ),
error_entry( NPP_WARNING ),
error_entry( NPP_ODD_ROI_WARNING ),
#else
error_entry( NPP_INVALID_HOST_POINTER_ERROR ),
error_entry( NPP_INVALID_DEVICE_POINTER_ERROR ),
error_entry( NPP_LUT_PALETTE_BITSIZE_ERROR ),
error_entry( NPP_ZC_MODE_NOT_SUPPORTED_ERROR ),
error_entry( NPP_MEMFREE_ERROR ),
error_entry( NPP_MEMSET_ERROR ),
error_entry( NPP_QUALITY_INDEX_ERROR ),
error_entry( NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_CHANNEL_ORDER_ERROR ),
error_entry( NPP_ZERO_MASK_VALUE_ERROR ),
error_entry( NPP_QUADRANGLE_ERROR ),
error_entry( NPP_RECTANGLE_ERROR ),
error_entry( NPP_COEFFICIENT_ERROR ),
error_entry( NPP_NUMBER_OF_CHANNELS_ERROR ),
error_entry( NPP_COI_ERROR ),
error_entry( NPP_DIVISOR_ERROR ),
error_entry( NPP_CHANNEL_ERROR ),
error_entry( NPP_STRIDE_ERROR ),
error_entry( NPP_ANCHOR_ERROR ),
error_entry( NPP_MASK_SIZE_ERROR ),
error_entry( NPP_MIRROR_FLIP_ERROR ),
error_entry( NPP_MOMENT_00_ZERO_ERROR ),
error_entry( NPP_THRESHOLD_NEGATIVE_LEVEL_ERROR ),
error_entry( NPP_THRESHOLD_ERROR ),
error_entry( NPP_CONTEXT_MATCH_ERROR ),
error_entry( NPP_FFT_FLAG_ERROR ),
error_entry( NPP_FFT_ORDER_ERROR ),
error_entry( NPP_SCALE_RANGE_ERROR ),
error_entry( NPP_DATA_TYPE_ERROR ),
error_entry( NPP_OUT_OFF_RANGE_ERROR ),
error_entry( NPP_DIVIDE_BY_ZERO_ERROR ),
error_entry( NPP_MEMORY_ALLOCATION_ERR ),
error_entry( NPP_RANGE_ERROR ),
error_entry( NPP_BAD_ARGUMENT_ERROR ),
error_entry( NPP_NO_MEMORY_ERROR ),
error_entry( NPP_ERROR_RESERVED ),
error_entry( NPP_NO_OPERATION_WARNING ),
error_entry( NPP_DIVIDE_BY_ZERO_WARNING ),
error_entry( NPP_WRONG_INTERSECTION_ROI_WARNING ),
#endif
error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_TEXTURE_BIND_ERROR ),
error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ),
error_entry( NPP_NOT_EVEN_STEP_ERROR ),
error_entry( NPP_INTERPOLATION_ERROR ),
error_entry( NPP_RESIZE_FACTOR_ERROR ),
error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ),
error_entry( NPP_MEMFREE_ERR ),
error_entry( NPP_MEMSET_ERR ),
error_entry( NPP_MEMCPY_ERROR ),
error_entry( NPP_MEM_ALLOC_ERR ),
error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_MIRROR_FLIP_ERR ),
error_entry( NPP_INVALID_INPUT ),
error_entry( NPP_ALIGNMENT_ERROR ),
error_entry( NPP_STEP_ERROR ),
error_entry( NPP_SIZE_ERROR ),
error_entry( NPP_POINTER_ERROR ),
error_entry( NPP_NULL_POINTER_ERROR ),
error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ),
error_entry( NPP_NOT_IMPLEMENTED_ERROR ),
error_entry( NPP_ERROR ),
error_entry( NPP_NO_ERROR ),
error_entry( NPP_SUCCESS ),
error_entry( NPP_WARNING ),
error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ),
error_entry( NPP_MISALIGNED_DST_ROI_WARNING ),
error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ),
error_entry( NPP_DOUBLE_SIZE_WARNING ),
error_entry( NPP_ODD_ROI_WARNING )
error_entry( NPP_DOUBLE_SIZE_WARNING )
};
const size_t npp_error_num = sizeof(npp_errors) / sizeof(npp_errors[0]);

27
modules/gpu/src/matrix_reductions.cpp
View File

@ -187,10 +187,20 @@ double cv::gpu::norm(const GpuMat& src1, const GpuMat& src2, int normType)
CV_Assert(src1.size() == src2.size() && src1.type() == src2.type());
CV_Assert(normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2);
typedef NppStatus (*npp_norm_diff_func_t)(const Npp8u* pSrc1, int nSrcStep1, const Npp8u* pSrc2, int nSrcStep2,
NppiSize oSizeROI, Npp64f* pRetVal);
#if CUDA_VERSION < 5050
typedef NppStatus (*func_t)(const Npp8u* pSrc1, int nSrcStep1, const Npp8u* pSrc2, int nSrcStep2, NppiSize oSizeROI, Npp64f* pRetVal);
static const npp_norm_diff_func_t npp_norm_diff_func[] = {nppiNormDiff_Inf_8u_C1R, nppiNormDiff_L1_8u_C1R, nppiNormDiff_L2_8u_C1R};
static const func_t funcs[] = {nppiNormDiff_Inf_8u_C1R, nppiNormDiff_L1_8u_C1R, nppiNormDiff_L2_8u_C1R};
#else
typedef NppStatus (*func_t)(const Npp8u* pSrc1, int nSrcStep1, const Npp8u* pSrc2, int nSrcStep2,
NppiSize oSizeROI, Npp64f* pRetVal, Npp8u * pDeviceBuffer);
typedef NppStatus (*buf_size_func_t)(NppiSize oSizeROI, int* hpBufferSize);
static const func_t funcs[] = {nppiNormDiff_Inf_8u_C1R, nppiNormDiff_L1_8u_C1R, nppiNormDiff_L2_8u_C1R};
static const buf_size_func_t buf_size_funcs[] = {nppiNormDiffInfGetBufferHostSize_8u_C1R, nppiNormDiffL1GetBufferHostSize_8u_C1R, nppiNormDiffL2GetBufferHostSize_8u_C1R};
#endif
NppiSize sz;
sz.width = src1.cols;
@ -202,7 +212,16 @@ double cv::gpu::norm(const GpuMat& src1, const GpuMat& src2, int normType)
DeviceBuffer dbuf;
nppSafeCall( npp_norm_diff_func[funcIdx](src1.ptr<Npp8u>(), static_cast<int>(src1.step), src2.ptr<Npp8u>(), static_cast<int>(src2.step), sz, dbuf) );
#if CUDA_VERSION < 5050
nppSafeCall( funcs[funcIdx](src1.ptr<Npp8u>(), static_cast<int>(src1.step), src2.ptr<Npp8u>(), static_cast<int>(src2.step), sz, dbuf) );
#else
int bufSize;
buf_size_funcs[funcIdx](sz, &bufSize);
GpuMat buf(1, bufSize, CV_8UC1);
nppSafeCall( funcs[funcIdx](src1.ptr<Npp8u>(), static_cast<int>(src1.step), src2.ptr<Npp8u>(), static_cast<int>(src2.step), sz, dbuf, buf.data) );
#endif
cudaSafeCall( cudaDeviceSynchronize() );

2
modules/gpu/src/nvidia/core/NCV.hpp
View File

@ -130,7 +130,7 @@ typedef int Ncv32s;
typedef unsigned int Ncv32u;
typedef short Ncv16s;
typedef unsigned short Ncv16u;
typedef char Ncv8s;
typedef signed char Ncv8s;
typedef unsigned char Ncv8u;
typedef float Ncv32f;
typedef double Ncv64f;

4
modules/gpu/src/nvidia/core/NCVPixelOperations.hpp
View File

@ -51,7 +51,7 @@ template<typename TBase> inline __host__ __device__ TBase _pixMaxVal();
template<> static inline __host__ __device__ Ncv8u _pixMaxVal<Ncv8u>() {return UCHAR_MAX;}
template<> static inline __host__ __device__ Ncv16u _pixMaxVal<Ncv16u>() {return USHRT_MAX;}
template<> static inline __host__ __device__ Ncv32u _pixMaxVal<Ncv32u>() {return UINT_MAX;}
template<> static inline __host__ __device__ Ncv8s _pixMaxVal<Ncv8s>() {return CHAR_MAX;}
template<> static inline __host__ __device__ Ncv8s _pixMaxVal<Ncv8s>() {return SCHAR_MAX;}
template<> static inline __host__ __device__ Ncv16s _pixMaxVal<Ncv16s>() {return SHRT_MAX;}
template<> static inline __host__ __device__ Ncv32s _pixMaxVal<Ncv32s>() {return INT_MAX;}
template<> static inline __host__ __device__ Ncv32f _pixMaxVal<Ncv32f>() {return FLT_MAX;}
@ -61,7 +61,7 @@ template<typename TBase> inline __host__ __device__ TBase _pixMinVal();
template<> static inline __host__ __device__ Ncv8u _pixMinVal<Ncv8u>() {return 0;}
template<> static inline __host__ __device__ Ncv16u _pixMinVal<Ncv16u>() {return 0;}
template<> static inline __host__ __device__ Ncv32u _pixMinVal<Ncv32u>() {return 0;}
template<> static inline __host__ __device__ Ncv8s _pixMinVal<Ncv8s>() {return CHAR_MIN;}
template<> static inline __host__ __device__ Ncv8s _pixMinVal<Ncv8s>() {return SCHAR_MIN;}
template<> static inline __host__ __device__ Ncv16s _pixMinVal<Ncv16s>() {return SHRT_MIN;}
template<> static inline __host__ __device__ Ncv32s _pixMinVal<Ncv32s>() {return INT_MIN;}
template<> static inline __host__ __device__ Ncv32f _pixMinVal<Ncv32f>() {return FLT_MIN;}

4
modules/gpu/src/precomp.hpp
View File

@ -116,11 +116,13 @@
#define CUDART_MINIMUM_REQUIRED_VERSION 4010
#define NPP_MINIMUM_REQUIRED_VERSION 4100
#define NPP_VERSION (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD)
#if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
#error "Insufficient Cuda Runtime library version, please update it."
#endif
#if (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD < NPP_MINIMUM_REQUIRED_VERSION)
#if (NPP_VERSION < NPP_MINIMUM_REQUIRED_VERSION)
#error "Insufficient NPP version, please update it."
#endif

12
modules/gpu/test/test_core.cpp
View File

@ -352,7 +352,7 @@ GPU_TEST_P(Add_Scalar, WithOutMask)
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
cv::add(mat, val, dst_gold, cv::noArray(), depth.second);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
}
}
@ -383,7 +383,7 @@ GPU_TEST_P(Add_Scalar, WithMask)
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
cv::add(mat, val, dst_gold, mask, depth.second);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
}
}
@ -567,7 +567,7 @@ GPU_TEST_P(Subtract_Scalar, WithOutMask)
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
cv::subtract(mat, val, dst_gold, cv::noArray(), depth.second);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
}
}
@ -598,7 +598,7 @@ GPU_TEST_P(Subtract_Scalar, WithMask)
cv::Mat dst_gold(size, depth.second, cv::Scalar::all(0));
cv::subtract(mat, val, dst_gold, mask, depth.second);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, depth.first >= CV_32F || depth.second >= CV_32F ? 1e-4 : 1.0);
}
}
@ -2148,7 +2148,7 @@ GPU_TEST_P(Min, Scalar)
cv::Mat dst_gold = cv::min(src, val);
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-5);
}
}
@ -2231,7 +2231,7 @@ GPU_TEST_P(Max, Scalar)
cv::Mat dst_gold = cv::max(src, val);
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
EXPECT_MAT_NEAR(dst_gold, dst, depth < CV_32F ? 1.0 : 1e-5);
}
}

4
modules/gpu/test/test_optflow.cpp
View File

@ -102,8 +102,8 @@ GPU_TEST_P(BroxOpticalFlow, Regression)
for (int i = 0; i < v_gold.rows; ++i)
f.read(v_gold.ptr<char>(i), v_gold.cols * sizeof(float));
EXPECT_MAT_NEAR(u_gold, u, 0);
EXPECT_MAT_NEAR(v_gold, v, 0);
EXPECT_MAT_SIMILAR(u_gold, u, 1e-3);
EXPECT_MAT_SIMILAR(v_gold, v, 1e-3);
#else
std::ofstream f(fname.c_str(), std::ios_base::binary);

12
modules/highgui/CMakeLists.txt
View File

@ -95,14 +95,10 @@ elseif(HAVE_QT)
endif()
include(${QT_USE_FILE})
if(QT_INCLUDE_DIR)
ocv_include_directories(${QT_INCLUDE_DIR})
endif()
QT4_ADD_RESOURCES(_RCC_OUTFILES src/window_QT.qrc)
QT4_WRAP_CPP(_MOC_OUTFILES src/window_QT.h)
list(APPEND HIGHGUI_LIBRARIES ${QT_LIBRARIES} ${QT_QTTEST_LIBRARY})
list(APPEND HIGHGUI_LIBRARIES ${QT_LIBRARIES})
list(APPEND highgui_srcs src/window_QT.cpp ${_MOC_OUTFILES} ${_RCC_OUTFILES})
ocv_check_flag_support(CXX -Wno-missing-declarations _have_flag)
if(${_have_flag})
@ -183,7 +179,11 @@ if(HAVE_XIMEA)
if(XIMEA_LIBRARY_DIR)
link_directories(${XIMEA_LIBRARY_DIR})
endif()
list(APPEND HIGHGUI_LIBRARIES m3api)
if(CMAKE_CL_64)
list(APPEND HIGHGUI_LIBRARIES m3apiX64)
else()
list(APPEND HIGHGUI_LIBRARIES m3api)
endif()
endif(HAVE_XIMEA)
if(HAVE_FFMPEG)

12
modules/highgui/include/opencv2/highgui/cap_ios.h
View File

@ -1,6 +1,4 @@
/*
* cap_ios.h
* For iOS video I/O
/* For iOS video I/O
* by Eduard Feicho on 29/07/12
* Copyright 2012. All rights reserved.
*
@ -90,6 +88,12 @@
- (void)createVideoPreviewLayer;
- (void)updateOrientation;
- (void)lockFocus;
- (void)unlockFocus;
- (void)lockExposure;
- (void)unlockExposure;
- (void)lockBalance;
- (void)unlockBalance;
@end
@ -116,6 +120,7 @@
BOOL grayscaleMode;
BOOL recordVideo;
BOOL rotateVideo;
AVAssetWriterInput* recordAssetWriterInput;
AVAssetWriterInputPixelBufferAdaptor* recordPixelBufferAdaptor;
AVAssetWriter* recordAssetWriter;
@ -128,6 +133,7 @@
@property (nonatomic, assign) BOOL grayscaleMode;
@property (nonatomic, assign) BOOL recordVideo;
@property (nonatomic, assign) BOOL rotateVideo;
@property (nonatomic, retain) AVAssetWriterInput* recordAssetWriterInput;
@property (nonatomic, retain) AVAssetWriterInputPixelBufferAdaptor* recordPixelBufferAdaptor;
@property (nonatomic, retain) AVAssetWriter* recordAssetWriter;

4
modules/highgui/include/opencv2/highgui/highgui_c.h
View File

@ -558,9 +558,11 @@ CVAPI(int) cvGetCaptureDomain( CvCapture* capture);
/* "black box" video file writer structure */
typedef struct CvVideoWriter CvVideoWriter;
#define CV_FOURCC_MACRO(c1, c2, c3, c4) (((c1) & 255) + (((c2) & 255) << 8) + (((c3) & 255) << 16) + (((c4) & 255) << 24))
CV_INLINE int CV_FOURCC(char c1, char c2, char c3, char c4)
{
return (c1 & 255) + ((c2 & 255) << 8) + ((c3 & 255) << 16) + ((c4 & 255) << 24);
return CV_FOURCC_MACRO(c1, c2, c3, c4);
}
#define CV_FOURCC_PROMPT -1 /* Open Codec Selection Dialog (Windows only) */

10
modules/highgui/perf/perf_input.cpp
View File

@ -11,11 +11,21 @@ using std::tr1::get;
typedef perf::TestBaseWithParam<String> VideoCapture_Reading;
#if defined(HAVE_MSMF)
// MPEG2 is not supported by Media Foundation yet
// http://social.msdn.microsoft.com/Forums/en-US/mediafoundationdevelopment/thread/39a36231-8c01-40af-9af5-3c105d684429
PERF_TEST_P(VideoCapture_Reading, ReadFile, testing::Values( "highgui/video/big_buck_bunny.avi",
"highgui/video/big_buck_bunny.mov",
"highgui/video/big_buck_bunny.mp4",
"highgui/video/big_buck_bunny.wmv" ) )
#else
PERF_TEST_P(VideoCapture_Reading, ReadFile, testing::Values( "highgui/video/big_buck_bunny.avi",
"highgui/video/big_buck_bunny.mov",
"highgui/video/big_buck_bunny.mp4",
"highgui/video/big_buck_bunny.mpg",
"highgui/video/big_buck_bunny.wmv" ) )
#endif
{
string filename = getDataPath(GetParam());

12
modules/highgui/perf/perf_output.cpp
View File

@ -22,10 +22,16 @@ PERF_TEST_P(VideoWriter_Writing, WriteFrame,
{
string filename = getDataPath(get<0>(GetParam()));
bool isColor = get<1>(GetParam());
Mat image = imread(filename, 1);
#if defined(HAVE_MSMF) && !defined(HAVE_VFW) && !defined(HAVE_FFMPEG) // VFW has greater priority
VideoWriter writer(cv::tempfile(".wmv"), CV_FOURCC('W', 'M', 'V', '3'),
25, cv::Size(image.cols, image.rows), isColor);
#else
VideoWriter writer(cv::tempfile(".avi"), CV_FOURCC('X', 'V', 'I', 'D'),
25, cv::Size(image.cols, image.rows), isColor);
#endif
VideoWriter writer(cv::tempfile(".avi"), CV_FOURCC('X', 'V', 'I', 'D'), 25, cv::Size(640, 480), isColor);
TEST_CYCLE() { Mat image = imread(filename, 1); writer << image; }
TEST_CYCLE() { image = imread(filename, 1); writer << image; }
bool dummy = writer.isOpened();
SANITY_CHECK(dummy);

2
modules/highgui/perf/perf_precomp.hpp
View File

@ -21,6 +21,7 @@
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF) || \
defined(HAVE_VFW)
/*defined(HAVE_OPENNI) too specialized */ \
@ -34,6 +35,7 @@
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF) || \
defined(HAVE_VFW)
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 1
#else

42
modules/highgui/src/cap.cpp
View File

@ -117,6 +117,9 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
#ifdef HAVE_DSHOW
CV_CAP_DSHOW,
#endif
#ifdef HAVE_MSMF
CV_CAP_MSMF,
#endif
#if 1
CV_CAP_IEEE1394, // identical to CV_CAP_DC1394
#endif
@ -196,13 +199,6 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
switch (domains[i])
{
#ifdef HAVE_MSMF
case CV_CAP_MSMF:
capture = cvCreateCameraCapture_MSMF (index);
if (capture)
return capture;
break;
#endif
#ifdef HAVE_DSHOW
case CV_CAP_DSHOW:
capture = cvCreateCameraCapture_DShow (index);
@ -210,7 +206,13 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
return capture;
break;
#endif
#ifdef HAVE_MSMF
case CV_CAP_MSMF:
capture = cvCreateCameraCapture_MSMF (index);
if (capture)
return capture;
break;
#endif
#ifdef HAVE_TYZX
case CV_CAP_STEREO:
capture = cvCreateCameraCapture_TYZX (index);
@ -218,14 +220,12 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
return capture;
break;
#endif
case CV_CAP_VFW:
#ifdef HAVE_VFW
case CV_CAP_VFW:
capture = cvCreateCameraCapture_VFW (index);
if (capture)
return capture;
#endif
#if defined HAVE_LIBV4L || defined HAVE_CAMV4L || defined HAVE_CAMV4L2 || defined HAVE_VIDEOIO
capture = cvCreateCameraCapture_V4L (index);
if (capture)
@ -358,6 +358,16 @@ CV_IMPL CvCapture * cvCreateFileCapture (const char * filename)
if (! result)
result = cvCreateFileCapture_FFMPEG_proxy (filename);
#ifdef HAVE_VFW
if (! result)
result = cvCreateFileCapture_VFW (filename);
#endif
#ifdef HAVE_MSMF
if (! result)
result = cvCreateFileCapture_MSMF (filename);
#endif
#ifdef HAVE_XINE
if (! result)
result = cvCreateFileCapture_XINE (filename);
@ -406,6 +416,16 @@ CV_IMPL CvVideoWriter* cvCreateVideoWriter( const char* filename, int fourcc,
if(!result)
result = cvCreateVideoWriter_FFMPEG_proxy (filename, fourcc, fps, frameSize, is_color);
#ifdef HAVE_VFW
if(!result)
result = cvCreateVideoWriter_VFW(filename, fourcc, fps, frameSize, is_color);
#endif
#ifdef HAVE_MSMF
if (!result)
result = cvCreateVideoWriter_MSMF(filename, fourcc, fps, frameSize, is_color);
#endif
/* #ifdef HAVE_XINE
if(!result)
result = cvCreateVideoWriter_XINE(filename, fourcc, fps, frameSize, is_color);

11
modules/highgui/src/cap_dc1394_v2.cpp
View File

@ -45,7 +45,16 @@
#include <unistd.h>
#include <stdint.h>
#include <sys/select.h>
#ifdef WIN32
// On Windows, we have no sys/select.h, but we need to pick up
// select() which is in winsock2.
#ifndef __SYS_SELECT_H__
#define __SYS_SELECT_H__ 1
#include <winsock2.h>
#endif
#else
#include <sys/select.h>
#endif /*WIN32*/
#include <dc1394/dc1394.h>
#include <stdlib.h>
#include <string.h>

6
modules/highgui/src/cap_dshow.cpp
View File

@ -3195,8 +3195,10 @@ IplImage* CvCaptureCAM_DShow::retrieveFrame(int)
frame = cvCreateImage( cvSize(w,h), 8, 3 );
}
VI.getPixels( index, (uchar*)frame->imageData, false, true );
return frame;
if (VI.getPixels( index, (uchar*)frame->imageData, false, true ))
return frame;
else
return NULL;
}
double CvCaptureCAM_DShow::getProperty( int property_id )

8
modules/highgui/src/cap_ffmpeg.cpp
View File

@ -209,11 +209,7 @@ CvCapture* cvCreateFileCapture_FFMPEG_proxy(const char * filename)
if( result->open( filename ))
return result;
delete result;
#ifdef HAVE_VFW
return cvCreateFileCapture_VFW(filename);
#else
return 0;
#endif
}
class CvVideoWriter_FFMPEG_proxy :
@ -263,9 +259,5 @@ CvVideoWriter* cvCreateVideoWriter_FFMPEG_proxy( const char* filename, int fourc
if( result->open( filename, fourcc, fps, frameSize, isColor != 0 ))
return result;
delete result;
#ifdef HAVE_VFW
return cvCreateVideoWriter_VFW(filename, fourcc, fps, frameSize, isColor);
#else
return 0;
#endif
}

86
modules/highgui/src/cap_ios_abstract_camera.mm
View File

@ -2,6 +2,7 @@
* cap_ios_abstract_camera.mm
* For iOS video I/O
* by Eduard Feicho on 29/07/12
* by Alexander Shishkov on 17/07/13
* Copyright 2012. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
@ -405,4 +406,89 @@
}
}
- (void)lockFocus;
{
AVCaptureDevice *device = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo];
if ([device isFocusModeSupported:AVCaptureFocusModeLocked]) {
NSError *error = nil;
if ([device lockForConfiguration:&error]) {
device.focusMode = AVCaptureFocusModeLocked;
[device unlockForConfiguration];
} else {
NSLog(@"unable to lock device for locked focus configuration %@", [error localizedDescription]);
}
}
}
- (void) unlockFocus;
{
AVCaptureDevice *device = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo];
if ([device isFocusModeSupported:AVCaptureFocusModeContinuousAutoFocus]) {
NSError *error = nil;
if ([device lockForConfiguration:&error]) {
device.focusMode = AVCaptureFocusModeContinuousAutoFocus;
[device unlockForConfiguration];
} else {
NSLog(@"unable to lock device for autofocus configuration %@", [error localizedDescription]);
}
}
}
- (void)lockExposure;
{
AVCaptureDevice *device = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo];
if ([device isExposureModeSupported:AVCaptureExposureModeLocked]) {
NSError *error = nil;
if ([device lockForConfiguration:&error]) {
device.exposureMode = AVCaptureExposureModeLocked;
[device unlockForConfiguration];
} else {
NSLog(@"unable to lock device for locked exposure configuration %@", [error localizedDescription]);
}
}
}
- (void) unlockExposure;
{
AVCaptureDevice *device = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo];
if ([device isExposureModeSupported:AVCaptureExposureModeContinuousAutoExposure]) {
NSError *error = nil;
if ([device lockForConfiguration:&error]) {
device.exposureMode = AVCaptureExposureModeContinuousAutoExposure;
[device unlockForConfiguration];
} else {
NSLog(@"unable to lock device for autoexposure configuration %@", [error localizedDescription]);
}
}
}
- (void)lockBalance;
{
AVCaptureDevice *device = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo];
if ([device isWhiteBalanceModeSupported:AVCaptureWhiteBalanceModeLocked]) {
NSError *error = nil;
if ([device lockForConfiguration:&error]) {
device.whiteBalanceMode = AVCaptureWhiteBalanceModeLocked;
[device unlockForConfiguration];
} else {
NSLog(@"unable to lock device for locked white balance configuration %@", [error localizedDescription]);
}
}
}
- (void) unlockBalance;
{
AVCaptureDevice *device = [AVCaptureDevice defaultDeviceWithMediaType:AVMediaTypeVideo];
if ([device isWhiteBalanceModeSupported:AVCaptureWhiteBalanceModeContinuousAutoWhiteBalance]) {
NSError *error = nil;
if ([device lockForConfiguration:&error]) {
device.whiteBalanceMode = AVCaptureWhiteBalanceModeContinuousAutoWhiteBalance;
[device unlockForConfiguration];
} else {
NSLog(@"unable to lock device for auto white balance configuration %@", [error localizedDescription]);
}
}
}
@end

54
modules/highgui/src/cap_ios_video_camera.mm
View File

@ -2,6 +2,7 @@
* cap_ios_video_camera.mm
* For iOS video I/O
* by Eduard Feicho on 29/07/12
* by Alexander Shishkov on 17/07/13
* Copyright 2012. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
@ -30,7 +31,6 @@
#import "opencv2/highgui/cap_ios.h"
#include "precomp.hpp"
#import <AssetsLibrary/AssetsLibrary.h>
@ -70,6 +70,7 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
@synthesize videoDataOutput;
@synthesize recordVideo;
@synthesize rotateVideo;
//@synthesize videoFileOutput;
@synthesize recordAssetWriterInput;
@synthesize recordPixelBufferAdaptor;
@ -85,6 +86,7 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
if (self) {
self.useAVCaptureVideoPreviewLayer = NO;
self.recordVideo = NO;
self.rotateVideo = NO;
}
return self;
}
@ -269,13 +271,8 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
}
#pragma mark - Private Interface
- (void)createVideoDataOutput;
{
// Make a video data output
@ -389,6 +386,38 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
[self.parentView.layer addSublayer:self.customPreviewLayer];
}
- (CVPixelBufferRef) pixelBufferFromCGImage: (CGImageRef) image
{
CGSize frameSize = CGSizeMake(CGImageGetWidth(image), CGImageGetHeight(image));
NSDictionary *options = [NSDictionary dictionaryWithObjectsAndKeys:
[NSNumber numberWithBool:NO], kCVPixelBufferCGImageCompatibilityKey,
[NSNumber numberWithBool:NO], kCVPixelBufferCGBitmapContextCompatibilityKey,
nil];
CVPixelBufferRef pxbuffer = NULL;
CVReturn status = CVPixelBufferCreate(kCFAllocatorDefault, frameSize.width,
frameSize.height, kCVPixelFormatType_32ARGB, (CFDictionaryRef) CFBridgingRetain(options),
&pxbuffer);
NSParameterAssert(status == kCVReturnSuccess && pxbuffer != NULL);
CVPixelBufferLockBaseAddress(pxbuffer, 0);
void *pxdata = CVPixelBufferGetBaseAddress(pxbuffer);
CGColorSpaceRef rgbColorSpace = CGColorSpaceCreateDeviceRGB();
CGContextRef context = CGBitmapContextCreate(pxdata, frameSize.width,
frameSize.height, 8, 4*frameSize.width, rgbColorSpace,
kCGImageAlphaPremultipliedFirst);
CGContextDrawImage(context, CGRectMake(0, 0, CGImageGetWidth(image),
CGImageGetHeight(image)), image);
CGColorSpaceRelease(rgbColorSpace);
CGContextRelease(context);
CVPixelBufferUnlockBaseAddress(pxbuffer, 0);
return pxbuffer;
}
#pragma mark - Protocol AVCaptureVideoDataOutputSampleBufferDelegate
@ -522,7 +551,8 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
}
if (self.recordAssetWriterInput.readyForMoreMediaData) {
if (! [self.recordPixelBufferAdaptor appendPixelBuffer:imageBuffer
CVImageBufferRef pixelBuffer = [self pixelBufferFromCGImage:dstImage];
if (! [self.recordPixelBufferAdaptor appendPixelBuffer:pixelBuffer
withPresentationTime:lastSampleTime] ) {
NSLog(@"Video Writing Error");
}
@ -543,9 +573,12 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
- (void)updateOrientation;
{
NSLog(@"rotate..");
self.customPreviewLayer.bounds = CGRectMake(0, 0, self.parentView.frame.size.width, self.parentView.frame.size.height);
[self layoutPreviewLayer];
if (self.rotateVideo == YES)
{
NSLog(@"rotate..");
self.customPreviewLayer.bounds = CGRectMake(0, 0, self.parentView.frame.size.width, self.parentView.frame.size.height);
[self layoutPreviewLayer];
}
}
@ -583,3 +616,4 @@ static CGFloat DegreesToRadians(CGFloat degrees) {return degrees * M_PI / 180;};
}
@end

1251
modules/highgui/src/cap_msmf.cpp
View File

File diff suppressed because it is too large Load Diff

4
modules/highgui/src/cap_vfw.cpp
View File

@ -613,8 +613,10 @@ bool CvVideoWriter_VFW::open( const char* filename, int _fourcc, double _fps, Cv
close();
return false;
}
return true;
}
return true;
else
return false;
}

129
modules/highgui/src/cap_ximea.cpp
View File

@ -20,25 +20,24 @@ public:
virtual IplImage* retrieveFrame(int);
virtual int getCaptureDomain() { return CV_CAP_XIAPI; } // Return the type of the capture object: CV_CAP_VFW, etc...
protected:
private:
void init();
void errMsg(const char* msg, int errNum);
void resetCvImage();
int getBpp();
IplImage* frame;
HANDLE hmv;
DWORD numDevices;
XI_IMG image;
int width;
int height;
int format;
int timeout;
XI_IMG image;
};
/**********************************************************************************/
CvCapture* cvCreateCameraCapture_XIMEA( int index )
{
CvCaptureCAM_XIMEA* capture = new CvCaptureCAM_XIMEA;
CvCaptureCAM_XIMEA* capture = new CvCaptureCAM_XIMEA;
if( capture->open( index ))
return capture;
@ -79,18 +78,19 @@ bool CvCaptureCAM_XIMEA::open( int wIndex )
// always use auto white ballance
mvret = xiSetParamInt( hmv, XI_PRM_AUTO_WB, 1);
if(mvret != XI_OK) goto error;
// default image format RGB24
mvret = xiSetParamInt( hmv, XI_PRM_IMAGE_DATA_FORMAT, XI_RGB24);
if(mvret != XI_OK) goto error;
int width = 0;
mvret = xiGetParamInt( hmv, XI_PRM_WIDTH, &width);
if(mvret != XI_OK) goto error;
int height = 0;
mvret = xiGetParamInt( hmv, XI_PRM_HEIGHT, &height);
if(mvret != XI_OK) goto error;
// default image format RGB24
format = XI_RGB24;
mvret = xiSetParamInt( hmv, XI_PRM_IMAGE_DATA_FORMAT, format);
if(mvret != XI_OK) goto error;
// allocate frame buffer for RGB24 image
frame = cvCreateImage(cvSize( width, height), IPL_DEPTH_8U, 3);
@ -103,10 +103,10 @@ bool CvCaptureCAM_XIMEA::open( int wIndex )
errMsg("StartAcquisition XI_DEVICE failed", mvret);
goto error;
}
return true;
error:
errMsg("Open XI_DEVICE failed", mvret);
xiCloseDevice(hmv);
hmv = NULL;
return false;
@ -116,18 +116,19 @@ error:
void CvCaptureCAM_XIMEA::close()
{
if(hmv)
{
xiStopAcquisition(hmv);
xiCloseDevice(hmv);
hmv = NULL;
}
if(frame)
cvReleaseImage(&frame);
xiStopAcquisition(hmv);
xiCloseDevice(hmv);
hmv = NULL;
}
/**********************************************************************************/
bool CvCaptureCAM_XIMEA::grabFrame()
{
memset(&image, 0, sizeof(XI_IMG));
image.size = sizeof(XI_IMG);
int mvret = xiGetImage( hmv, timeout, &image);
@ -151,31 +152,18 @@ bool CvCaptureCAM_XIMEA::grabFrame()
IplImage* CvCaptureCAM_XIMEA::retrieveFrame(int)
{
// update cvImage after format has changed
if( (int)image.width != width || (int)image.height != height || image.frm != (XI_IMG_FORMAT)format)
{
cvReleaseImage(&frame);
switch( image.frm)
{
case XI_MONO8 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 1); break;
case XI_MONO16 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_16U, 1); break;
case XI_RGB24 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 3); break;
case XI_RGB32 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 4); break;
default :
return frame;
}
// update global image format
format = image.frm;
width = image.width;
height = image.height;
}
resetCvImage();
// copy pixel data
switch( image.frm)
{
case XI_MONO8 : memcpy( frame->imageData, image.bp, image.width*image.height); break;
case XI_MONO16 : memcpy( frame->imageData, image.bp, image.width*image.height*sizeof(WORD)); break;
case XI_RGB24 : memcpy( frame->imageData, image.bp, image.width*image.height*3); break;
case XI_RGB32 : memcpy( frame->imageData, image.bp, image.width*image.height*sizeof(DWORD)); break;
case XI_MONO8 :
case XI_RAW8 : memcpy( frame->imageData, image.bp, image.width*image.height); break;
case XI_MONO16 :
case XI_RAW16 : memcpy( frame->imageData, image.bp, image.width*image.height*sizeof(WORD)); break;
case XI_RGB24 :
case XI_RGB_PLANAR : memcpy( frame->imageData, image.bp, image.width*image.height*3); break;
case XI_RGB32 : memcpy( frame->imageData, image.bp, image.width*image.height*4); break;
default: break;
}
return frame;
@ -183,6 +171,35 @@ IplImage* CvCaptureCAM_XIMEA::retrieveFrame(int)
/**********************************************************************************/
void CvCaptureCAM_XIMEA::resetCvImage()
{
int width = 0, height = 0, format = 0;
xiGetParamInt( hmv, XI_PRM_WIDTH, &width);
xiGetParamInt( hmv, XI_PRM_HEIGHT, &height);
xiGetParamInt( hmv, XI_PRM_IMAGE_DATA_FORMAT, &format);
if( (int)image.width != width || (int)image.height != height || image.frm != (XI_IMG_FORMAT)format)
{
if(frame) cvReleaseImage(&frame);
frame = NULL;
switch( image.frm)
{
case XI_MONO8 :
case XI_RAW8 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 1); break;
case XI_MONO16 :
case XI_RAW16 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_16U, 1); break;
case XI_RGB24 :
case XI_RGB_PLANAR : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 3); break;
case XI_RGB32 : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 4); break;
default :
return;
}
}
cvZero(frame);
}
/**********************************************************************************/
double CvCaptureCAM_XIMEA::getProperty( int property_id )
{
if(hmv == NULL)
@ -238,20 +255,14 @@ bool CvCaptureCAM_XIMEA::setProperty( int property_id, double value )
switch(property_id)
{
// OCV parameters
case CV_CAP_PROP_FRAME_WIDTH : mvret = xiSetParamInt( hmv, XI_PRM_WIDTH, ival);
if(mvret == XI_OK) width = ival;
break;
case CV_CAP_PROP_FRAME_HEIGHT : mvret = xiSetParamInt( hmv, XI_PRM_HEIGHT, ival);
if(mvret == XI_OK) height = ival;
break;
case CV_CAP_PROP_FRAME_WIDTH : mvret = xiSetParamInt( hmv, XI_PRM_WIDTH, ival); break;
case CV_CAP_PROP_FRAME_HEIGHT : mvret = xiSetParamInt( hmv, XI_PRM_HEIGHT, ival); break;
case CV_CAP_PROP_FPS : mvret = xiSetParamFloat( hmv, XI_PRM_FRAMERATE, fval); break;
case CV_CAP_PROP_GAIN : mvret = xiSetParamFloat( hmv, XI_PRM_GAIN, fval); break;
case CV_CAP_PROP_EXPOSURE : mvret = xiSetParamInt( hmv, XI_PRM_EXPOSURE, ival); break;
// XIMEA camera properties
case CV_CAP_PROP_XI_DOWNSAMPLING : mvret = xiSetParamInt( hmv, XI_PRM_DOWNSAMPLING, ival); break;
case CV_CAP_PROP_XI_DATA_FORMAT : mvret = xiSetParamInt( hmv, XI_PRM_IMAGE_DATA_FORMAT, ival);
if(mvret == XI_OK) format = ival;
break;
case CV_CAP_PROP_XI_DATA_FORMAT : mvret = xiSetParamInt( hmv, XI_PRM_IMAGE_DATA_FORMAT, ival); break;
case CV_CAP_PROP_XI_OFFSET_X : mvret = xiSetParamInt( hmv, XI_PRM_OFFSET_X, ival); break;
case CV_CAP_PROP_XI_OFFSET_Y : mvret = xiSetParamInt( hmv, XI_PRM_OFFSET_Y, ival); break;
case CV_CAP_PROP_XI_TRG_SOURCE : mvret = xiSetParamInt( hmv, XI_PRM_TRG_SOURCE, ival); break;
@ -288,7 +299,7 @@ bool CvCaptureCAM_XIMEA::setProperty( int property_id, double value )
void CvCaptureCAM_XIMEA::errMsg(const char* msg, int errNum)
{
#if defined WIN32 || defined _WIN32
char buf[512];
char buf[512]="";
sprintf( buf, "%s : %d\n", msg, errNum);
OutputDebugString(buf);
#else
@ -296,4 +307,22 @@ void CvCaptureCAM_XIMEA::errMsg(const char* msg, int errNum)
#endif
}
/**********************************************************************************/
int CvCaptureCAM_XIMEA::getBpp()
{
switch( image.frm)
{
case XI_MONO8 :
case XI_RAW8 : return 1;
case XI_MONO16 :
case XI_RAW16 : return 2;
case XI_RGB24 :
case XI_RGB_PLANAR : return 3;
case XI_RGB32 : return 4;
default :
return 0;
}
}
/**********************************************************************************/

3
modules/highgui/src/precomp.hpp
View File

@ -119,6 +119,9 @@ CvVideoWriter* cvCreateVideoWriter_VFW( const char* filename, int fourcc,
double fps, CvSize frameSize, int is_color );
CvCapture* cvCreateCameraCapture_DShow( int index );
CvCapture* cvCreateCameraCapture_MSMF( int index );
CvCapture* cvCreateFileCapture_MSMF (const char* filename);
CvVideoWriter* cvCreateVideoWriter_MSMF( const char* filename, int fourcc,
double fps, CvSize frameSize, int is_color );
CvCapture* cvCreateCameraCapture_OpenNI( int index );
CvCapture* cvCreateFileCapture_OpenNI( const char* filename );
CvCapture* cvCreateCameraCapture_Android( int index );

12
modules/highgui/src/window.cpp
View File

@ -256,12 +256,17 @@ namespace
void cv::imshow( const string& winname, InputArray _img )
{
const Size size = _img.size();
#ifndef HAVE_OPENGL
Mat img = _img.getMat();
CvMat c_img = img;
cvShowImage(winname.c_str(), &c_img);
CV_Assert(size.width>0 && size.height>0);
{
Mat img = _img.getMat();
CvMat c_img = img;
cvShowImage(winname.c_str(), &c_img);
}
#else
const double useGl = getWindowProperty(winname, WND_PROP_OPENGL);
CV_Assert(size.width>0 && size.height>0);
if (useGl <= 0)
{
@ -275,7 +280,6 @@ void cv::imshow( const string& winname, InputArray _img )
if (autoSize > 0)
{
Size size = _img.size();
resizeWindow(winname, size.width, size.height);
}

86
modules/highgui/src/window_QT.cpp
View File

@ -38,6 +38,7 @@
//--------------------Google Code 2010 -- Yannick Verdie--------------------//
#include "precomp.hpp"
#if defined(HAVE_QT)
@ -2473,35 +2474,33 @@ void DefaultViewPort::saveView()
if (!fileName.isEmpty()) //save the picture
{
QString extension = fileName.right(3);
// (no need anymore) create the image resized to receive the 'screenshot'
// image2Draw_qt_resized = QImage(viewport()->width(), viewport()->height(),QImage::Format_RGB888);
QPainter saveimage(&image2Draw_qt_resized);
this->render(&saveimage);
// Create a new pixmap to render the viewport into
QPixmap viewportPixmap(viewport()->size());
viewport()->render(&viewportPixmap);
// Save it..
if (QString::compare(extension, "png", Qt::CaseInsensitive) == 0)
{
image2Draw_qt_resized.save(fileName, "PNG");
viewportPixmap.save(fileName, "PNG");
return;
}
if (QString::compare(extension, "jpg", Qt::CaseInsensitive) == 0)
{
image2Draw_qt_resized.save(fileName, "JPG");
viewportPixmap.save(fileName, "JPG");
return;
}
if (QString::compare(extension, "bmp", Qt::CaseInsensitive) == 0)
{
image2Draw_qt_resized.save(fileName, "BMP");
viewportPixmap.save(fileName, "BMP");
return;
}
if (QString::compare(extension, "jpeg", Qt::CaseInsensitive) == 0)
{
image2Draw_qt_resized.save(fileName, "JPEG");
viewportPixmap.save(fileName, "JPEG");
return;
}
@ -2651,17 +2650,16 @@ void DefaultViewPort::paintEvent(QPaintEvent* evnt)
//Now disable matrixWorld for overlay display
myPainter.setWorldMatrixEnabled(false);
//overlay pixel values if zoomed in far enough
if (param_matrixWorld.m11()*ratioX >= threshold_zoom_img_region &&
param_matrixWorld.m11()*ratioY >= threshold_zoom_img_region)
{
drawImgRegion(&myPainter);
}
//in mode zoom/panning
if (param_matrixWorld.m11() > 1)
{
if (param_matrixWorld.m11() >= threshold_zoom_img_region)
{
if (centralWidget->param_flags == CV_WINDOW_NORMAL)
startDisplayInfo("WARNING: The values displayed are the resized image's values. If you want the original image's values, use CV_WINDOW_AUTOSIZE", 1000);
drawImgRegion(&myPainter);
}
drawViewOverview(&myPainter);
}
@ -2887,22 +2885,24 @@ void DefaultViewPort::drawStatusBar()
//accept only CV_8UC1 and CV_8UC8 image for now
void DefaultViewPort::drawImgRegion(QPainter *painter)
{
if (nbChannelOriginImage!=CV_8UC1 && nbChannelOriginImage!=CV_8UC3)
return;
qreal offsetX = param_matrixWorld.dx()/param_matrixWorld.m11();
double pixel_width = param_matrixWorld.m11()*ratioX;
double pixel_height = param_matrixWorld.m11()*ratioY;
qreal offsetX = param_matrixWorld.dx()/pixel_width;
offsetX = offsetX - floor(offsetX);
qreal offsetY = param_matrixWorld.dy()/param_matrixWorld.m11();
qreal offsetY = param_matrixWorld.dy()/pixel_height;
offsetY = offsetY - floor(offsetY);
QSize view = size();
QVarLengthArray<QLineF, 30> linesX;
for (qreal _x = offsetX*param_matrixWorld.m11(); _x < view.width(); _x += param_matrixWorld.m11() )
for (qreal _x = offsetX*pixel_width; _x < view.width(); _x += pixel_width )
linesX.append(QLineF(_x, 0, _x, view.height()));
QVarLengthArray<QLineF, 30> linesY;
for (qreal _y = offsetY*param_matrixWorld.m11(); _y < view.height(); _y += param_matrixWorld.m11() )
for (qreal _y = offsetY*pixel_height; _y < view.height(); _y += pixel_height )
linesY.append(QLineF(0, _y, view.width(), _y));
@ -2910,27 +2910,25 @@ void DefaultViewPort::drawImgRegion(QPainter *painter)
int original_font_size = f.pointSize();
//change font size
//f.setPointSize(4+(param_matrixWorld.m11()-threshold_zoom_img_region)/5);
f.setPixelSize(10+(param_matrixWorld.m11()-threshold_zoom_img_region)/5);
f.setPixelSize(10+(pixel_height-threshold_zoom_img_region)/5);
painter->setFont(f);
QString val;
QRgb rgbValue;
QPointF point1;//sorry, I do not know how to name it
QPointF point2;//idem
for (int j=-1;j<height()/param_matrixWorld.m11();j++)//-1 because display the pixels top rows left colums
for (int i=-1;i<width()/param_matrixWorld.m11();i++)//-1
for (int j=-1;j<height()/pixel_height;j++)//-1 because display the pixels top rows left columns
for (int i=-1;i<width()/pixel_width;i++)//-1
{
point1.setX((i+offsetX)*param_matrixWorld.m11());
point1.setY((j+offsetY)*param_matrixWorld.m11());
// Calculate top left of the pixel's position in the viewport (screen space)
QPointF pos_in_view((i+offsetX)*pixel_width, (j+offsetY)*pixel_height);
matrixWorld_inv.map(point1.x(),point1.y(),&point2.rx(),&point2.ry());
// Calculate top left of the pixel's position in the image (image space)
QPointF pos_in_image = matrixWorld_inv.map(pos_in_view);// Top left of pixel in view
pos_in_image.rx() = pos_in_image.x()/ratioX;
pos_in_image.ry() = pos_in_image.y()/ratioY;
QPoint point_in_image(pos_in_image.x() + 0.5f,pos_in_image.y() + 0.5f);// Add 0.5 for rounding
point2.rx()= (long) (point2.x() + 0.5);
point2.ry()= (long) (point2.y() + 0.5);
if (point2.x() >= 0 && point2.y() >= 0)
rgbValue = image2Draw_qt_resized.pixel(QPoint(point2.x(),point2.y()));
QRgb rgbValue;
if (image2Draw_qt.valid(point_in_image))
rgbValue = image2Draw_qt.pixel(point_in_image);
else
rgbValue = qRgb(0,0,0);
@ -2943,29 +2941,29 @@ void DefaultViewPort::drawImgRegion(QPainter *painter)
painter->drawText(QRect(point1.x(),point1.y(),param_matrixWorld.m11(),param_matrixWorld.m11()/2),
Qt::AlignCenter, val);
*/
QString val;
val = tr("%1").arg(qRed(rgbValue));
painter->setPen(QPen(Qt::red, 1));
painter->drawText(QRect(point1.x(),point1.y(),param_matrixWorld.m11(),param_matrixWorld.m11()/3),
painter->drawText(QRect(pos_in_view.x(),pos_in_view.y(),pixel_width,pixel_height/3),
Qt::AlignCenter, val);
val = tr("%1").arg(qGreen(rgbValue));
painter->setPen(QPen(Qt::green, 1));
painter->drawText(QRect(point1.x(),point1.y()+param_matrixWorld.m11()/3,param_matrixWorld.m11(),param_matrixWorld.m11()/3),
painter->drawText(QRect(pos_in_view.x(),pos_in_view.y()+pixel_height/3,pixel_width,pixel_height/3),
Qt::AlignCenter, val);
val = tr("%1").arg(qBlue(rgbValue));
painter->setPen(QPen(Qt::blue, 1));
painter->drawText(QRect(point1.x(),point1.y()+2*param_matrixWorld.m11()/3,param_matrixWorld.m11(),param_matrixWorld.m11()/3),
painter->drawText(QRect(pos_in_view.x(),pos_in_view.y()+2*pixel_height/3,pixel_width,pixel_height/3),
Qt::AlignCenter, val);
}
if (nbChannelOriginImage==CV_8UC1)
{
val = tr("%1").arg(qRed(rgbValue));
painter->drawText(QRect(point1.x(),point1.y(),param_matrixWorld.m11(),param_matrixWorld.m11()),
QString val = tr("%1").arg(qRed(rgbValue));
painter->drawText(QRect(pos_in_view.x(),pos_in_view.y(),pixel_width,pixel_height),
Qt::AlignCenter, val);
}
}

1
modules/highgui/src/window_QT.h
View File

@ -522,7 +522,6 @@ private:
CvMat* image2Draw_mat;
QImage image2Draw_qt;
QImage image2Draw_qt_resized;
int nbChannelOriginImage;
//for mouse callback

6
modules/highgui/test/test_precomp.hpp
View File

@ -47,7 +47,8 @@
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
/*defined(HAVE_OPENNI) || too specialized */ \
defined(HAVE_FFMPEG)
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF)
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
@ -57,7 +58,8 @@
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG)
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF)
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 0

54
modules/highgui/test/test_video_io.cpp
View File

@ -54,6 +54,35 @@ string fourccToString(int fourcc)
return format("%c%c%c%c", fourcc & 255, (fourcc >> 8) & 255, (fourcc >> 16) & 255, (fourcc >> 24) & 255);
}
#ifdef HAVE_MSMF
const VideoFormat g_specific_fmt_list[] =
{
/*VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', '2', '5')),
VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', '5', '0')),
VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', 'c', ' ')),
VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', 'h', '1')),
VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', 'h', 'd')),
VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', 's', 'd')),
VideoFormat("wmv", CV_FOURCC_MACRO('d', 'v', 's', 'l')),
VideoFormat("wmv", CV_FOURCC_MACRO('H', '2', '6', '3')),
VideoFormat("wmv", CV_FOURCC_MACRO('M', '4', 'S', '2')),
VideoFormat("avi", CV_FOURCC_MACRO('M', 'J', 'P', 'G')),
VideoFormat("mp4", CV_FOURCC_MACRO('M', 'P', '4', 'S')),
VideoFormat("mp4", CV_FOURCC_MACRO('M', 'P', '4', 'V')),
VideoFormat("wmv", CV_FOURCC_MACRO('M', 'P', '4', '3')),
VideoFormat("wmv", CV_FOURCC_MACRO('M', 'P', 'G', '1')),
VideoFormat("wmv", CV_FOURCC_MACRO('M', 'S', 'S', '1')),
VideoFormat("wmv", CV_FOURCC_MACRO('M', 'S', 'S', '2')),*/
#if !defined(_M_ARM)
VideoFormat("wmv", CV_FOURCC_MACRO('W', 'M', 'V', '1')),
VideoFormat("wmv", CV_FOURCC_MACRO('W', 'M', 'V', '2')),
#endif
VideoFormat("wmv", CV_FOURCC_MACRO('W', 'M', 'V', '3')),
VideoFormat("avi", CV_FOURCC_MACRO('H', '2', '6', '4')),
//VideoFormat("wmv", CV_FOURCC_MACRO('W', 'V', 'C', '1')),
VideoFormat()
};
#else
const VideoFormat g_specific_fmt_list[] =
{
VideoFormat("avi", CV_FOURCC('X', 'V', 'I', 'D')),
@ -63,17 +92,17 @@ const VideoFormat g_specific_fmt_list[] =
VideoFormat("mkv", CV_FOURCC('X', 'V', 'I', 'D')),
VideoFormat("mkv", CV_FOURCC('M', 'P', 'E', 'G')),
VideoFormat("mkv", CV_FOURCC('M', 'J', 'P', 'G')),
VideoFormat("mov", CV_FOURCC('m', 'p', '4', 'v')),
VideoFormat()
};
#endif
}
class CV_HighGuiTest : public cvtest::BaseTest
{
protected:
void ImageTest(const string& dir);
void ImageTest (const string& dir);
void VideoTest (const string& dir, const cvtest::VideoFormat& fmt);
void SpecificImageTest (const string& dir);
void SpecificVideoTest (const string& dir, const cvtest::VideoFormat& fmt);
@ -242,19 +271,19 @@ void CV_HighGuiTest::VideoTest(const string& dir, const cvtest::VideoFormat& fmt
for(;;)
{
IplImage * img = cvQueryFrame( cap );
IplImage* img = cvQueryFrame( cap );
if (!img)
break;
frames.push_back(Mat(img).clone());
if (writer == 0)
if (writer == NULL)
{
writer = cvCreateVideoWriter(tmp_name.c_str(), fmt.fourcc, 24, cvGetSize(img));
if (writer == 0)
if (writer == NULL)
{
ts->printf(ts->LOG, "can't create writer (with fourcc : %d)\n",
ts->printf(ts->LOG, "can't create writer (with fourcc : %s)\n",
cvtest::fourccToString(fmt.fourcc).c_str());
cvReleaseCapture( &cap );
ts->set_failed_test_info(ts->FAIL_MISMATCH);
@ -290,15 +319,22 @@ void CV_HighGuiTest::VideoTest(const string& dir, const cvtest::VideoFormat& fmt
double psnr = PSNR(img1, img);
if (psnr < thresDbell)
{
printf("Too low psnr = %gdb\n", psnr);
// imwrite("img.png", img);
// imwrite("img1.png", img1);
ts->printf(ts->LOG, "Too low frame %d psnr = %gdb\n", i, psnr);
ts->set_failed_test_info(ts->FAIL_MISMATCH);
//imwrite("original.png", img);
//imwrite("after_test.png", img1);
//Mat diff;
//absdiff(img, img1, diff);
//imwrite("diff.png", diff);
break;
}
}
printf("Before saved release for %s\n", tmp_name.c_str());
cvReleaseCapture( &saved );
printf("After release\n");
ts->printf(ts->LOG, "end test function : ImagesVideo \n");
}

3
modules/imgproc/doc/miscellaneous_transformations.rst
View File

@ -116,6 +116,7 @@ If you use ``cvtColor`` with 8-bit images, the conversion will have some informa
The function can do the following transformations:
*
RGB :math:`\leftrightarrow` GRAY ( ``CV_BGR2GRAY, CV_RGB2GRAY, CV_GRAY2BGR, CV_GRAY2RGB`` )
Transformations within RGB space like adding/removing the alpha channel, reversing the channel order, conversion to/from 16-bit RGB color (R5:G6:B5 or R5:G5:B5), as well as conversion to/from grayscale using:
.. math::
@ -765,7 +766,7 @@ Runs the GrabCut algorithm.
* **GC_PR_BGD** defines a possible background pixel.
* **GC_PR_BGD** defines a possible foreground pixel.
* **GC_PR_FGD** defines a possible foreground pixel.
:param rect: ROI containing a segmented object. The pixels outside of the ROI are marked as "obvious background". The parameter is only used when ``mode==GC_INIT_WITH_RECT`` .

6
modules/imgproc/perf/perf_cvt_color.cpp
View File

@ -258,7 +258,8 @@ PERF_TEST_P(Size_CvtMode, cvtColor8u,
declare.time(100);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() cvtColor(src, dst, mode, ch.dcn);
int runs = sz.width <= 320 ? 70 : 5;
TEST_CYCLE_MULTIRUN(runs) cvtColor(src, dst, mode, ch.dcn);
SANITY_CHECK(dst, 1);
}
@ -334,7 +335,8 @@ PERF_TEST_P(Size_CvtMode3, cvtColorRGB2YUV420p,
declare.time(100);
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() cvtColor(src, dst, mode, ch.dcn);
int runs = (sz.width <= 640) ? 10 : 1;
TEST_CYCLE_MULTIRUN(runs) cvtColor(src, dst, mode, ch.dcn);
SANITY_CHECK(dst, 1);
}

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